neuroscientist

Virginia Commonwealth University

<div><div><div><h3 class="jobSectionHeader">Research Scientist - Department of Neuroscience and Anatomy
</h3><div><div><ul><li>45001003
</li></ul></div><div><ul><li>907 Floyd Avenue, MCV Main Campus, Virginia, United States, 23284
</li></ul></div><div><ul><li>Research
</li></ul></div><div><ul><li>Staff
</li></ul></div><div></div><div><ul><li>School Of Medicine MBU</li></ul></div></div><div> 
</div><div>Benefits: All full-time university staff are eligible for VCU&rsquo;s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave granted up front, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.

Unit: School Of Medicine MBU

Department: Neuroscience and Anatomy

Duties &amp; Responsibilities:

We seek an experienced scientist with a background in cellular/systems neuroscience to join a research team investigating CNS structural and functional damage related to HIV and co-exposure to drugs of abuse. A strong background in histological techniques and microscopy are essential. Preferred applicants will also have broad expertise in biochemical and cellular approaches, will be able to work independently using established protocols, and will contribute to data analyses and publications.

Qualifications:

Minimum Qualifications
<ul>
<li>MS or PhD or equivalent in related discipline</li>
<li>
2+ years of working in a laboratory setting doing related work
</li>
<li>Preparing tissue sections (frozen and fresh) for microscopy
</li>
<li>Proficiency in immunohistochemistry or cytochemistry
</li>
<li>Proficiency in fluorescence microscopy, fluorescence imaging, and image acquisition software (e.g., Zeiss Zen; Keyence BZ-X series software or similar)
</li>
<li>Harvesting/processing tissue for standard biochemical assays (e.g. immunoblotting; RT-PCR/qPCR)
</li>
<li>Proficiency with standard word processing, spreadsheet, and data analysis software
</li>
<li>Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU</li>
</ul>
Preferred Qualifications
<ul>
<li>3+ years of working in a laboratory setting doing related work
</li>
<li>Proficiency in confocal microscopy
</li>
<li>Familiarity with morphological analysis software (Imaris, CellProfiler or similar)
</li>
<li>Primary culture of mammalian brain cells
</li>
<li>Survival surgery (e.g. osmotic pump implantation)
</li>
<li>In situ hybridization
</li>
</ul>Salary Range: Commensurate starting at $65,000

FLSA Exemption Status: Exempt 
 
Hours per Week: 40

Restricted Position: Yes

ORP Eligible: Yes

Flexible Work Arrangement: Fully Onsite

Contact Information: 
 
Contact Email: SOMHR@vcuhealth.org</div></div></div></div>

Research Scientist - Department of Neuroscience and Anatomy

Stanford University

A laboratory in the Genetics Department at Stanford University School of Medicine seeks a talented and energetic Life Science Research Professional 1 to investigate cell-cell interactions in the outer retina in the context of mitochondrial dysfunction through the generation and study of mouse models, with the aim of elucidating mechanisms relevant to photoreceptor degenerative diseases such as age-related macular degeneration and retinitis pigmentosa. The employee will independently conduct and analyze experiments to support ongoing projects in the lab and do independent projects as abilities and time allow. The employee will troubleshoot and adapt methods as necessary to achieve project goals. The position includes work with live mice. The successful applicant will become a member of a research team and must interact productively with other team members and those in nearby labs. The employee will facilitate the daily operation of the lab and help assure lab compliance with government and University guidelines regarding health and safety. This is an NIH-funded position in a collaborative, intellectually exciting and multidisciplinary environment known for research excellence. Candidates experienced with mice and molecular and cellular biology are particularly desirable. Duties include: <ul><li> Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory. </li><li> Independently conduct experiments; maintain detailed records of experiments and outcomes. </li><li> Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher. </li><li> Review literature to remain current with new procedures and apply learnings to related research. </li><li> Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals. </li><li> Help with general lab maintenance; maintain lab supplies, manage chemical inventory and safety records, and provide general lab support as needed. </li><li> Assist with orientation and training of new staff or students on lab procedures or techniques. </li><li> Help to manage a mouse colony - Other duties may also be assigned. </li></ul> DESIRED QUALIFICATIONS: Bachelor's degree in Molecular Biology, Cell Biology, Neurosciences, Biochemistry, Biology, or Developmental Biology is preferred. Experience handling mice in a laboratory setting is a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): <ul><li> General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. </li><li> Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. </li><li> Ability to maintain detailed records of experiments and outcomes. </li><li> General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. </li><li> Ability to work under deadlines with general guidance. </li><li> Excellent organizational skills and demonstrated ability to accurately complete detailed work. </li></ul> CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS : <ul><li> Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. </li><li> Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. </li><li> Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. </li><li> Must have correctible vision to perform duties of the job. </li><li> Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. </li><li> Ability to lift heavy objects weighing up to 50 pounds. </li><li> Ability to work in an odorous environment. </li><li> Ability to work in low light conditions. </li><li> Position may require repetitive motion. </li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: <ul><li> May require working in close proximity to blood borne pathogens. </li><li> Will require work in an environment where animals are used for research. </li><li> Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. </li><li> Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves. </li><li> May require occasional extended or unusual work hours based on the requirements of particular experiments. The expected pay range for this position is $31.40 to $38.89 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. </li></ul> At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL): <ul><li> Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. </li><li> Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned. </li><li> Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . </li></ul><img src="https://www.jobg8.com/Tracking.aspx?zTrfLbIc2GOqxC2pPzMKfMZ8sqPymeS%2bf" width="0" height="0" />

Life Science Research Professional 1

The Enigma Project (enigmaproject.ai) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning artificial intelligence models with human-like neural representations.As part of this project, we seek talented individuals specializing in mechanistic interpretability to develop novel methods and scalable systems for analyzing and interpreting these models, helping us understand how the brain represents and processes information. The role combines rigorous engineering practices with cutting-edge research in model interpretability, working at the intersection of neuroscience and artificial intelligence. Role & Responsibilities:<ul><li>Lead research initiatives in the mechanistic interpretability of foundation models of the brain</li><li>Develop novel theoretical frameworks and methods for understanding neural representations</li><li>Design and guide interpretability studies that bridge artificial and biological neural networks</li><li>Advanced techniques for circuit discovery, feature visualization, and geometric analysis of high-dimensional neural data</li><li>Collaborate with neuroscientists to connect interpretability findings with biological principles</li><li>Mentor junior researchers and engineers in interpretability methods</li><li>Help shape the research agenda of the interpretability team</li><li> - Other duties may also be assigned</li></ul>What we offer:<ul><li>An environment in which to pursue fundamental research questions in AI and neuroscience interpretability</li><li>Access to unique datasets spanning artificial and biological neural networks</li><li>State-of-the-art computing infrastructure</li><li>Competitive salary and benefits package</li><li>Collaborative environment at the intersection of multiple disciplines</li><li>Location at Stanford University with access to its world-class research community</li><li> Application: In addition to applying to the position, please send your CV and one page interest statement to: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.</li></ul> Desired Qualifications:<ul><li>Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or related field plus 2+ years post-Ph.D. research experience</li><li>At least 2+ years of practical experience in training, fine-tuning, and using multi-modal deep learning models</li><li>Strong publication record in top-tier machine learning conferences and journals, particularly in areas related to multi-modal modeling</li><li>Strong programming skills in Python and deep learning frameworks</li><li>Demonstrated ability to lead research projects and mentor others</li><li>Ability to work effectively in a collaborative, multidisciplinary environment</li></ul>Preferred Qualifications:<ul><li>Background in theoretical neuroscience or computational neuroscience</li><li>Experience in processing and analyzing large-scale, high-dimensional data of different sources</li><li>Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services</li><li>Familiarity with big data and MLOps platforms (e.g. MLflow, Weights & Biases)</li><li>Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar)</li><li>Experience with large-scale distributed model training frameworks (e.g. Ray, DeepSpeed, HF Accelerate, FSDP)</li></ul> EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience, or combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Expert knowledge of the principles of engineering and related natural sciences.</li><li>Demonstrated project leadership experience.</li><li>Demonstrated experience leading and/or managing technical professionals.</li></ul>CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS :<ul><li>Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.</li><li>Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.</li><li> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. </li></ul>WORKING CONDITIONS:<ul><li>May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.</li><li>May require travel.</li></ul>The expected pay range for this position is $156,560 to $180,039 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?4JvFlRdvJgMP84MHnnTp7lNjF%2fIBIXpqp" width="0" height="0" />

Research Scientist - Interpretability (1 Year Fixed Term)

IC HOLDİNG

<div>
 
 "1969 y&inodot;l&inodot;nda temelleri at&inodot;lan ve bug&uuml;n bir Holding &ccedil;at&inodot;s&inodot; alt&inodot;nda faaliyetlerini s&uuml;rd&uuml;ren IC &Idot;brahim &Ccedil;e&ccedil;en Yat&inodot;r&inodot;m Holding A.&Scedil;. (IC Holding) faaliyetlerini temelde &Idot;n&scedil;aat, Enerji &Uuml;retimi ve Da&gbreve;&inodot;t&inodot;m&inodot;, Turizm, Sanayi, Altyap&inodot; sekt&ouml;rlerinde s&uuml;rd&uuml;rmektedir. S&uuml;rekli b&uuml;y&uuml;yen ve geli&scedil;en kurumsal bir yap&inodot; i&ccedil;inde T&uuml;rkiye&rsquo;de faaliyetlerini s&uuml;rd&uuml;ren IC Holding son y&inodot;llarda ba&scedil;ta Rusya, Orta Do&gbreve;u, Orta Asya ve Avrupa gibi D&uuml;nyan&inodot;n &ccedil;e&scedil;itli b&ouml;lgelerinde, &ouml;zellikle nitelikli m&uuml;teahhitlik hizmetleri ve orta &ouml;l&ccedil;ekli sanayi grubu faaliyetleri olmak &uuml;zere bir&ccedil;ok proje ger&ccedil;ekle&scedil;tirmektedir."
 
 
 
 
 
 IC &Idot;brahim &Ccedil;e&ccedil;en Holding b&uuml;nyesinde g&ouml;revlendirilmek &uuml;zere a&scedil;a&gbreve;&inodot;daki &ouml;zelliklere sahip
 
 "Yapay Zeka Uzman&inodot;"
 
 aray&inodot;&scedil;&inodot;m&inodot;z bulunmaktad&inodot;r.
 
 
 
 
 
 
 Genel Nitelikler:
 
 
 
 
 
 <ul>
 <li>
 Yapay zeka, makine &ouml;&gbreve;renimi veya yaz&inodot;l&inodot;m geli&scedil;tirme alan&inodot;nda en az 2 y&inodot;l deneyimli,
 </li>
 <li>
 Tercihen &Uuml;niversitelerin M&uuml;hendislik b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Python, JavaScript/Node.js veya C# ile entegrasyon geli&scedil;tirme becerisine sahip,
 </li>
 <li>
 Azure OpenAI, OpenAI API gibi bulut tabanl&inodot; AI hizmetlerinde uygulama tecr&uuml;besi olan,
 </li>
 <li>
 Tercihen do&gbreve;al dil i&scedil;leme (NLP), niyet tespiti (intent detection) ve diyalog y&ouml;netimi (dialog management) alanlar&inodot;nda proje deneyimi,
 </li>
 <li>
 RESTful API&rsquo;ler ile &ccedil;al&inodot;&scedil;ma deneyimine sahip,
 </li>
 <li>
 Microsoft Copilot ve Azure AI Studio ile proje geli&scedil;tirmi&scedil;,
 </li>
 <li>
 LLM (Large Language Models) tabanl&inodot; &ccedil;&ouml;z&uuml;mler &uuml;zerinde &ccedil;al&inodot;&scedil;m&inodot;&scedil;,
 </li>
 <li>
 LangChain, LlamaIndex gibi modern AI framework'leri hakk&inodot;nda bilgi sahibi,
 </li>
 <li>
 Hugging Face Transformers ve benzeri a&ccedil;&inodot;k kaynakl&inodot; yapay zeka k&uuml;t&uuml;phanelerine ilgili,
 </li>
 <li>
 Agile/Scrum metodolojileriyle &ccedil;evik ekiplerde &ccedil;al&inodot;&scedil;ma deneyimi bulunan,
 </li>
 <li>
 &Idot;ngilizce teknik dok&uuml;mantasyonu okuyup anlayabilecek d&uuml;zeyde yeterlilik.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;:
 
 
 
 
 
 <ul>
 <li>
 Holding b&uuml;nyesindeki &scedil;irketler i&ccedil;in Microsoft Copilot ve Azure AI &ccedil;&ouml;z&uuml;mleri geli&scedil;tirmek,
 </li>
 <li>
 Chatbot ve dijital asistan projelerinin mimarisini olu&scedil;turmak, geli&scedil;tirmek ve optimize etmek,
 </li>
 <li>
 OpenAI, Azure OpenAI gibi LLM temelli modelleri entegre etmek ve &ouml;zelle&scedil;tirmek,
 </li>
 <li>
 Prompt engineering, RAG (Retrieval Augmented Generation) ve model se&ccedil;imi s&uuml;re&ccedil;lerinde aktif rol almak,
 </li>
 <li>
 &Idot;&scedil; ihtiya&ccedil;lar&inodot;na y&ouml;nelik AI Agent mimarileri geli&scedil;tirmek, &ouml;zelle&scedil;tirilmi&scedil; &ccedil;&ouml;z&uuml;mler &uuml;retmek,
 </li>
 <li>
 &Uuml;r&uuml;n ve proje ekipleriyle i&scedil; birli&gbreve;i yaparak AI tabanl&inodot; &ouml;zelliklerin hayata ge&ccedil;irilmesini sa&gbreve;lamak,
 </li>
 <li>
 Yeni nesil AI ara&ccedil;lar&inodot;n&inodot; ve framework&rsquo;lerini (LangChain, LlamaIndex vb.) yak&inodot;ndan takip etmek,
 </li>
 <li>
 Yenilik&ccedil;i teknolojileri pilot projelerle test etmek, kurum i&ccedil;in uygulanabilirli&gbreve;ini de&gbreve;erlendirmek,
 </li>
 <li>
 Geli&scedil;tirilen yapay zeka &ccedil;&ouml;z&uuml;mlerinin performans analizlerini ger&ccedil;ekle&scedil;tirmek ve iyile&scedil;tirmek,
 </li>
 <li>
 Projeler kapsam&inodot;nda gerekli olan teknik dok&uuml;mantasyonu haz&inodot;rlamak ve g&uuml;ncel tutmak.
 </li>
 </ul>
 
 
</div>

Yapay Zeka Uzmanı

Baykar

<div><div><div>Makine &Ouml;&#287;renmesi
</div><div>G&ouml;r&uuml;nt&uuml; &#304;&#351;leme
</div><div>B&uuml;y&uuml;k Veri &#304;&#351;leme
</div><div>Sa&#287;l&#305;k Teknolojileri
</div></div><div>Sa&#287;l&#305;k Teknolojileri alan&#305;nda &ccedil;al&#305;&#351;an bir Yapay Zeka M&uuml;hendisi olarak, g&ouml;r&uuml;nt&uuml; analizi tabanl&#305; Klinik Yapay Zeka sistemleri, &Uuml;retken Yapay Zeka tabanl&#305; ila&ccedil; ve molek&uuml;l tasar&#305;m&#305;, Yapay Zeka tabanl&#305; klinik karar destek asistanlar&#305;, Sa&#287;l&#305;kta Robotik uygulamalar&#305; gibi geni&#351; yelpazede yer alan projelerde g&ouml;rev alabilirsiniz.
Sorumluluklar:<ul><li>
T&#305;bbi g&ouml;r&uuml;nt&uuml;lerden (MRI, CT, histopatoloji) hastal&#305;k te&#351;hisi i&ccedil;in derin &ouml;&#287;renme modelleri geli&#351;tirmek,</li><li>
GenAI tabanl&#305; molek&uuml;l tasar&#305;m modelleri olu&#351;turmak ve optimize etmek,</li><li>
B&uuml;y&uuml;k &ouml;l&ccedil;ekli biyomedikal veri k&uuml;melerini analiz etmek ve modellerin do&#287;rulu&#287;unu art&#305;rmak,</li><li>
Sa&#287;l&#305;k verisi i&#351;leme, model e&#287;itimi ve validasyonu s&uuml;re&ccedil;lerinde Ar-Ge ekibiyle birlikte &ccedil;al&#305;&#351;mak,</li><li>
Yayg&#305;n kullan&#305;lan makine &ouml;&#287;renimi ve derin &ouml;&#287;renme framework&rsquo;leri (TensorFlow, PyTorch) ile model geli&#351;tirmek,</li><li>
Sa&#287;l&#305;k ve biyoinformatik alan&#305;ndaki g&uuml;ncel akademik ve end&uuml;striyel geli&#351;meleri takip ederek projelere entegre etmek.</li></ul>
Aranan Nitelikler:<ul><li>
Bilgisayar M&uuml;hendisli&#287;i, Biyoinformatik, Yapay Zeka, Elektrik-Elektronik M&uuml;hendisli&#287;i veya ilgili alanlardan lisans veya y&uuml;ksek lisans derecesi,</li><li>
Derin &ouml;&#287;renme, makine &ouml;&#287;renimi veya bilgisayarl&#305; g&ouml;r&uuml; konular&#305;nda en az 2 y&#305;l deneyim,</li><li>
T&#305;bbi g&ouml;r&uuml;nt&uuml; analizi ve biyomedikal veri ile &ccedil;al&#305;&#351;ma deneyimi,</li><li>
&Uuml;retken yapay zeka (GenAI) ve biyoinformatik modeller &uuml;zerine bilgi sahibi olmak,</li><li>
TensorFlow, PyTorch gibi framework&rsquo;ler ile model geli&#351;tirme tecr&uuml;besi,</li><li>
Python ve veri i&#351;leme k&uuml;t&uuml;phaneleri (NumPy, Pandas, OpenCV) konusunda ileri d&uuml;zey bilgi,</li><li>
Sa&#287;l&#305;k alan&#305;ndaki etik kurallar ve reg&uuml;lasyonlar hakk&#305;nda bilgi sahibi olmak,</li><li>
Ekip &ccedil;al&#305;&#351;mas&#305;na yatk&#305;n, ara&#351;t&#305;rmac&#305; ve &ccedil;&ouml;z&uuml;m odakl&#305; yakla&#351;&#305;m benimsemek.</li></ul>
Tercih Edilen Nitelikler:<ul><li>
Daha &ouml;nce hastal&#305;k te&#351;hisinde kullan&#305;lan yapay zeka projelerinde g&ouml;rev alm&#305;&#351; olmak,</li><li>
Biyoteknoloji ve ila&ccedil; ke&#351;fi s&uuml;re&ccedil;lerine a&#351;inal&#305;k,</li><li>
GPU h&#305;zland&#305;rmal&#305; hesaplama deneyimi,</li><li>
Akademik makale okuma ve uygulama yetkinli&#287;i.</li></ul>
Sa&#287;l&#305;kta yapay zeka alan&#305;nda yenilik&ccedil;i projelerde yer almak ve hayat kurtaran teknolojilere katk&#305;da bulunmak isteyen ekip arkada&#351;lar&#305;m&#305;z&#305; aram&#305;za bekleriz.</div></div><div></div>

Sağlıkta Yapay Zeka Mühendisi

The Enigma Project (enigmaproject.ai) is a research organization based in the Department of Ophthalmology at Stanford University School of Medicine, dedicated to understanding the computational principles of natural intelligence using the tools of artificial intelligence. Leveraging recent advances in neurotechnology and machine learning, this project aims to create a foundation model of the brain, capturing the relationship between perception, cognition, behavior, and the activity dynamics of the brain. This ambitious initiative promises to offer unprecedented insights into the algorithms of the brain while serving as a key resource for aligning artificial intelligence models with human-like neural representations.As part of this project, we seek exceptional individuals with extensive experience building, using, and fine-tuning large-scale multimodal foundation models. The team will be responsible for training frontier models on large-scale data of neuronal recordings - multimodal models, i.e., digital twins of a primate brain, that can relate unprecedented amounts of sensory input to neuronal correlates of perception, action, cognition, and intelligence. We expect the candidate to have expertise in modern deep learning libraries (preferably PyTorch) and recent developments in multimodal foundation and frontier models. This position promises a vibrant atmosphere at Stanford University in a collaborative community renowned for expertise in computational neuroscience and deep learning. Role & Responsibilities: • Implement and optimize the latest machine learning algorithms/models to train multimodal foundation models on neural data • Develop and maintain scalable, efficient, and reproducible machine-learning pipelines • Conduct large-scale ML experiments, using the latest MLOps platforms • Run large-scale distributed model training on high-performance computing clusters or cloud platforms • Collaborate with machine learning researchers, data scientists, and systems engineers to ensure seamless integration of models and infrastructure • Monitor and optimize model performance, resource utilization, and cost-effectiveness • Stay up-to-date with the latest advancements in machine learning tools, frameworks, and methodologies • - Other duties may also be assignedWhat we offer: • An environment in which to pursue fundamental research questions in AI and neuroscience • A vibrant team of engineers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry. • Access to unique datasets spanning artificial and biological neural networks • State-of-the-art computing infrastructure • Competitive salary and benefits package • Collaborative environment at the intersection of multiple disciplines • Location at Stanford University with access to its world-class research community • Strong mentoring in career development.Application: In addition to applying to the position, please send your CV and one-page interest statement to: DESIRED QUALIFICATIONS:Key qualifications: Master's degree in Computer Science or related field with 2+ years of relevant industry experience, OR Bachelor's degree with 4+ years of relevant industry experience 2+ years of practical experience in implementing and optimizing machine learning algorithms with distributed training using common libraries (e.g. Ray, DeepSpeed, HF Accelerate, FSDP) Strong programming skills in Python, with expertise in machine learning frameworks like TensorFlow or PyTorch Experience with orchestration platforms Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and their machine learning services Familiarity with MLOps platforms (e.g. MLflow, Weights & Biases) Strong understanding of software engineering best practices, including version control, testing, and documentationPreferred qualifications: Familiarity with training, fine tuning, and quantization of LLMs or multimodal models using common techniques and frameworks (LoRA, PEFT, AWQ, GPTQ, or similar) Familiarity with modern big data tools and pipelines such as Apache Spark, Arrow, Airflow, Delta Lake, or similar Experience with AutoML and Neural Architecture Search (NAS) techniques Contributions to open-source machine learning projects or librariesEDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and three years of relevant experience, or combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Thorough knowledge of the principles of engineering and related natural sciences. • Demonstrated project management experience. CERTIFICATIONS & LICENSES:None PHYSICAL REQUIREMENTS :• Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. • Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. • Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.WORKING CONDITIONS:• May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights ?10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. • May require travel. The expected pay range for this position is $126,810 to $151,461 annually. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. <img src="https://www.jobg8.com/Tracking.aspx?KD66OVFTKeNfPXQGFK6pr%2f54mlnJj9iiw" width="0" height="0" />

Machine Learning Research Engineer (1 Year Fixed Term)

DePaul University

<div><div><div><div><div><div><div><div><div><div><div><div><div><div>Full-time Faculty Positions 
Full-time faculty positions will be posted on a per-opening basis. Postings are organized by college/school and department. Applicants will be evaluated at the college/school level for the position which they are submitting an application. Unless noted by a close date, positions will remain open until they are filled. Qualified applicants are encouraged to apply.
Below you will find the details for the posting including any supplementary documentation and questions you should review before applying for the opening or submitting your interest in teaching. To apply for the position, please click the link/button. 

Posting Details
Job ID: 164158
Rank: Assistant Professor
College/School: Chicago, IL - College of Science and Health
Position Description:
<div>The Departments of Neuroscience and Psychology at DePaul University are pleased to invite applications for a full-time joint tenure-track faculty position at the rank of Assistant Professor to begin September 1, 2026. The primary appointment will reside in the Department of Neuroscience.

The successful applicant will establish an active independent research program that includes undergraduate students. Teaching responsibilities will include Introductory Neuroscience and Physiological Psychology courses and an upper-level course in Cognitive Neuroscience. The candidate will also be asked to develop upper-level courses in their area of expertise along with the opportunity to teach courses in the Liberal Studies Program. In addition to teaching and research activities, the faculty member will participate in service opportunities while contributing to both the Department of Neuroscience and the Psychology Department. Dedicated research space and startup funds will be available.

Visit https://csh.depaul.edu/academics/neuroscience/Pages/default.aspx for more information about the Department of Neuroscience and https://csh.depaul.edu/academics/psychology/Pages/default.aspx for more information about the Department of Psychology .

About the College 
The College of Science and Health is the third largest college at DePaul, enrolling over 3,000 students. The college includes departments/schools of biological sciences, chemistry and biochemistry, environmental science and studies, health sciences, mathematical sciences, neuroscience, nursing, physics and astrophysics, psychology, and rehabilitative sciences and professions. The College of Science and Health provides high quality, personalized, and accessible science and health education to a diverse student body, grounded in the values of St. Vincent de Paul. Our teaching and research advance knowledge and service to society. The College is located on DePaul&rsquo;s Lincoln Park Campus.</div>
Qualifications:
Applicants must hold a PhD and be broadly trained in cognitive neuroscience with a strong commitment to undergraduate education. Outstanding candidates from any specialization within cognitive neuroscience will be considered. Research can range from human subjects to invertebrate systems, but a preference is for individuals whose focus is more systems/behavioral as opposed to cellular/molecular. A preference will be given to candidates with specializations that complement and expand on current areas of expertise in the departments.
Application Instructions:
Review of applications will begin October 1, 2025 and continue until the position is filled.

Applicants should apply online with a cover letter, curriculum vita, statement of teaching philosophy and experience, statement of research agenda, and contact information for three references. References will be emailed with a link to upload their recommendations. Please email Dr. Dorothy Kozlowski dkozlows@depaul.edu for additional inquiries.

General Compensation/Benefits Statement 
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.

DePaul University offers excellent benefits, including medical, dental, retirement, paid time off, and tuition benefit. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/Pages/default.aspx.

About DePaul University's Academic Calendar 
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams). 
 
<div>Salary Information: The salary range for this 10-month position is $75,000 - $78,400, commensurate with qualifications and experience.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Assistant Professor (Tenure Track) - Cognitive Neuroscience (26-27)

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