postdoctoral scientist

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

Alfaisal University

<div><div><div><h3 class="jobSectionHeader"><b>Postdoctoral Research Fellow (Cardiovascular Sciences) (CoM#270426)</b></h3><div><ul><li>College of Medicine (CoM)</li>
</ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>A highly motivated Postdoctoral Research Fellow is sought to join an interdisciplinary cardiovascular research team in the Nader&rsquo;s lab focused on advancing understanding of cardiac and vascular disease mechanisms, translational biomarker discovery, and clinical phenotyping. This position offers an exciting opportunity to contribute to impactful research at the interface of cardiovascular biology, metabolic disease, and clinical data science.</p>
<p>The successful candidate will work on projects investigating mechanisms of cardiovascular dysfunction, with particular interest in areas such as electrophysiology, vascular biology, cardiometabolic disease, imaging, and biomarker-based risk stratification. The postdoctoral fellow will be expected to lead and support hypothesis-driven studies, use of animal models, analyze complex experimental and clinical datasets, prepare manuscripts for publication, and contribute to grant development and collaborative research activities.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<p>The postdoctoral fellow will design, conduct, and interpret independent and collaborative research in cardiovascular sciences. Responsibilities include managing research datasets, applying appropriate statistical and computational methods, preparing figures and scientific reports, presenting findings at lab meetings and scientific conferences, and contributing to peer-reviewed publications. The fellow may also assist in mentoring graduate or medical students and in coordinating multidisciplinary collaborations across basic, translational, and clinical research teams.</p>
<h4 class="jobSectionHeader"><b>Required Qualifications</b></h4>
<p>Applicants should hold a PhD, or equivalent doctoral degree in cell biology, computational biology, physiology, biomedical sciences, epidemiology, or a related discipline. Candidates should demonstrate a strong publication record or clear evidence of research productivity relative to career stage. Experience in one or more relevant areas such as cardiac physiology, molecular biology, omics, clinical research, biostatistics, or computational analysis is highly desirable.</p>
<p>Strong written and verbal communication skills are essential, along with the ability to work both independently and collaboratively in a multidisciplinary environment.</p>
<h4 class="jobSectionHeader"><b>Preferred Qualifications</b></h4>
<p>Experience with cardiovascular phenotyping, ECG or imaging analysis, translational human studies, animal models, metabolic profiling, and statistical programming in R, Python, SPSS, Stata, or similar platforms will be considered an advantage. Candidates with interest in bridging mechanistic and patient-centered research are especially encouraged to apply.</p>
<h4 class="jobSectionHeader"><b>What We Offer</b></h4>
<p>This position provides an intellectually stimulating research environment, access to collaborative clinical and laboratory networks, opportunities for career development, conference presentation, and high-impact publication. The fellow will receive mentorship tailored to support independent academic development and future fellowship or faculty applications.</p>
<p>Salary and benefits will be commensurate with qualifications and institutional guidelines.</p>
<h4 class="jobSectionHeader"><b>Application Process</b></h4>
<p>Applicants should submit to aalluhaydan@alfaisal.edu:</p>
<ul><li>A <b>cover letter</b> describing research interests and career goals</li>
<li>A <b>curriculum vitae</b></li>
<li>A brief statement of previous research experience</li>
<li>Contact information for <b>two to three referees</b></li>
</ul><p>Review of applications will begin immediately and continue until the position is filled. The anticipated start date is <b>flexible</b>.</p>
<h4 class="jobSectionHeader"><b>Equal Opportunity Statement</b></h4>
<p>We are committed to building a diverse and inclusive research environment and welcome applications from candidates of all backgrounds.</p><br>
<br>
<b>Please upload CV in ENGLISH ONLY</b></div></div><p></p>

Postdoctoral Research Fellow (Cardiovascular Sciences)

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><p>
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.</p><p></p><p><b>
The Opportunity:</b></p><p></p><p><b>
As an integral member of our dynamic team, you will be:</b></p><p></p><ul><li><p>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</p></li><li><p>
Developing methods to analyze and interpret new types of perturbation data.</p></li><li><p>
Applying statistics and machine learning to investigate data and extract biological insights.</p></li><li><p>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</p></li></ul><p></p><p><b>
Who You Are:</b></p><p></p><ul><li><p>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</p></li><li><p>
Strong publication record of biological discovery and/or methods development.</p></li><li><p>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</p></li><li><p>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</p></li><li><p>
Fluent in Python and/or R.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</p></li><li><p>
Passionate about applying your analytical skills to understand health and disease.</p></li></ul><p></p><p><b>
Preferred Experience:</b></p><p></p><ul><li><p>
Experience with in situ data (FISH or ISS barcode calling).</p></li><li><p>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</p></li><li><p>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</p></li><li><p>
Experience with applying machine learning to high throughput datasets is a plus.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p></p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108731</p></div></ul></div></div></div></div><p></p>

Computational Scientist 3 - Cell & Tissue Genomics

New York University Abu Dhabi

<div>
 The Center for Brain and Health (CBH) (https://brainandhealth.org/) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The Research Scientist will be a key member of a multidisciplinary team responsible for collection, c, MEG, EEG, and eye tracking. The tentpole of the CBH is a normative brain database - the first of its kind in the region - that includes structural, functional, and diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires
 <br/>
 <br/>
 Candidates must hold a Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or equivalent is preferred. This position requires extensive experience with multimodal MRI, including functional and structural MRI and tractography. Experience with big data analysis techniques is essential. Experience working with other large brain databases is preferred. The ideal candidate will possess strong computational skills and a strong publication record. Terms of employment include competitive salary and benefits.
 <br/>
 <br/>
 Applications will be accepted immediately. To be considered, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests, three representative publications, and three letters of reference, all in PDF format. For instructions and information on how to apply, please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html. If you have any questions, please email rokers@nyu.edu or kartik.sreenivasan@nyu.edu
 <br/>
 <br/>
 The anticipated appointment starting date is May 1, 2026, with funding guaranteed for a term of 18 months and opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Research Scientist in the Center for Brain and Health – Dr. Bas Rokers and Dr. Kartik Sreenivasan

Pfizer

<div><p><b>Last day to apply May 24th, 2026</b><br>
<br>
<b>Why Patients Need You</b><br>
Pfizer&rsquo;s purpose is to deliver breakthroughs that change patients&rsquo; lives. Research and Development is at the heart of fulfilling Pfizer&rsquo;s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or developing manufacturing processes in support of clinical studies, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.</p><div><div><div><div><div><div><div><div><div><p><b>
What You Will Achieve</b></p><p>
The Upstream Process Development group within the Bioprocess R&amp;D organization is seeking a Postdoctoral Fellow &ndash; AI/ML Enabled Bioprocess Modeling and Control. The successful applicant will join a team of scientists and engineers focused on developing and optimizing manufacturing processes for recombinant proteins and other modalities for early- and late-phase human clinical trials.</p><p></p><p>
This role will focus on developing and applying innovative mathematical and computational modeling approaches to characterize, understand, and predict complex biological systems used for recombinant protein vaccine and therapeutic production. The postdoctoral fellow will develop hybrid mechanistic and data‑driven models for mammalian cell culture processes and leverage transcriptomic and other omics data to enable early clone selection based on predicted process performance and generational stability. In addition, the individual will develop a model predictive control (MPC) framework that uses these models to enable real‑time monitoring and control of cell culture processes.<br>
<br>
Further, the postdoctoral fellow will design and conduct targeted experiments to generate data for model development, training, validation, and control strategy evaluation. The role will also explore agentic AI approaches to orchestrate model fitting, transfer learning, and deployment across portfolio projects, enabling scalable and adaptive reuse of models for early decision‑making and process control. This position is well suited for a highly motivated scientist with strong expertise in machine learning, systems biology, kinetic modeling, process control, and mammalian cell metabolism.</p></div></div></div></div></div></div></div></div></div><p></p><p><b><br>
RESPONSIBILITIES</b></p><ul><li><p>
Develop hybrid mechanistic&ndash;data driven models for mammalian cell culture processes supporting recombinant protein production.</p></li><li><p>
Integrate transcriptomic and other omics data as structured inputs for clone specific performance and stability prediction.</p></li><li><p>
Apply machine learning and deep learning methods for phenotypic clustering, parameter estimation, and performance prediction.</p></li><li><p>
Extend existing mechanistic bioprocess models to include additional physiological functions (e.g., amino acid metabolism, regulatory feedback loops) using kinetic, genome scale, or data driven modeling approaches.</p></li><li><p>
Design and implement model predictive control (MPC) frameworks using mechanistic and hybrid models for real time control of critical process variables (e.g., feeding strategies, metabolite control).</p></li><li><p>
Design and execute shake flask, ambr&reg;, or bench scale bioreactor experiments to generate process and omics datasets for model development and validation.</p></li><li><p>
Perform in silico sensitivity and scenario analyses to understand process robustness, control leverage, and drivers of performance and stability.</p></li><li><p>
Validate models and control strategies using historical and new datasets, and deploy them prospectively to support new development programs.</p></li><li><p>
Explore agentic AI frameworks to orchestrate model fitting, validation, and transfer learning across portfolio projects, enabling scalable adaptation of models to new clones and processes with human‑in‑the‑loop decision support.</p></li><li><p>
Maintain rigorous documentation in electronic laboratory notebooks and internal technical reports.</p></li><li><p>
Communicate results effectively through presentations, technical discussions, and peer reviewed publications.</p></li><li><p>
Collaborate with cross functional teams across different time zones and contribute to mentoring junior scientists as appropriate.</p></li></ul><p></p><p><b><br>
BASIC QUALIFICATIONS</b></p><ul><li><p>
PhD in Chemical Engineering, Biochemical Engineering, Bioengineering, Systems Biology, Computational Biology, or a closely related field (0&ndash;2 years postdoctoral experience).<br>
Less than 2 years of post-degree (PhD) experience.</p></li><li><p>
Willingness to make a minimum 2-year commitment.</p></li><li><p>
Successful record of scientific accomplishments evidenced by scientific publications and/or presentations with at least one first-author publication in a peer-reviewed journal.</p></li><li><p>
Two letters of recommendation are also required prior to interview stage.</p></li><li><p>
Strong foundation in mathematical modeling, chemical/biochemical reaction kinetics, and mammalian cell culture processes.</p></li><li><p>
Proficiency in scientific computing using Python, Julia and/or MATLAB (experience with control toolboxes, optimization solvers, or ML libraries is a plus).</p></li><li><p>
Strong analytical, problem‑solving, and communication skills, with the ability to work independently and in interdisciplinary teams.</p></li><li><p>
Demonstrated expertise in machine learning and data‑driven modeling, including regression, classification, clustering, and model validation.</p></li><li><p>
Experience integrating omics data (especially transcriptomics) with mechanistic or hybrid models.</p></li></ul><p><b><br>
PREFERRED QUALIFICATIONS</b></p><ul><li><p>
Familiarity with process systems engineering and control concepts, including model predictive control, optimal control, or dynamic optimization.</p></li><li><p>
Experience building modular, reusable AI/ML workflows that support transfer or multi‑task learning across related systems, with familiarity in adaptive decision‑making and human‑in‑the‑loop modeling concepts.</p></li><li><p>
Understanding of CHO cell physiology, central carbon and amino acid metabolism, and regulatory mechanisms relevant to bioprocessing.</p></li><li><p>
Hands‑on experience designing and executing cell culture experiments is highly desirable.</p></li></ul><p><br>
<br>
<b>ADDITIONAL INFORMATION</b><br>
Relocation support available<br>
Work Location Assignment: On Premise<br>
<b>Last day to apply May 24th, 2026</b></p>
The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer&rsquo;s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life&rsquo;s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site &ndash; U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
<p>Relocation assistance may be available based on business needs and/or eligibility.</p>
<p>
Candidates must be authorized to be employed in the U.S. by any employer.</p><p>
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.</p><p></p>
<div><div><div><div><div><div><div><div><p><b>
Sunshine Act</b></p><p>
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider&rsquo;s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.</p></div></div></div></div></div></div></div></div>
<p><b>
EEO &amp; Employment Eligibility</b></p><p>
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.</p><p></p><p>
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.</p>
Research and Development</div>

Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control

State of South Carolina

JOB
<br><b>Post Doctoral FellowDepartment:</b> ASPH Exercise SciencePart/Full Time: Full TimeAdvertised Salary Range: About UofSCFrom the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.Advertised Job SummaryThe Arnold Healthy Kids Initiative is seeking a motivated and detail-oriented Post Doctoral Fellow to support several NIH -funded research projects focused on improving sleep and dietary behaviors in children to enhance their overall health and well-being.This position plays a key role in coordinating behavioral clinical trials and contributing to all phases of the research process. Primary responsibilities include assisting with study implementation and participant coordination, supporting data collection and analysis, and ensuring adherence to research protocols and timelines. The role also involves contributing to the preparation of manuscripts and grant applications, delivering scientific presentations at regional and national conferences, and identifying and applying for fellowship and research funding opportunities.The ideal candidate will demonstrate strong organizational skills, attention to detail, and the ability to manage multiple priorities in a collaborative research environment. Excellent written and verbal communication skills are essential, along with an interest in pediatric health, behavioral research, and clinical trial coordination.This is an excellent opportunity for individuals seeking hands-on experience in NIH -funded research, academic writing, and professional development within a dynamic and impactful research program.Required Education and ExperiencePreferred Qualifications• Doctoral (Ph.D.) degree in public health, behavioral science, nutrition, exercise science, psychology or a related field• Excellent written and oral communication skills• Strong leadership skills and potential to mentor graduate and undergraduate students• Experience with management and analysis of complex datasets, including experience with SAS , SPSS , STATA , or R• A strong track record of publications in scientific journals.• Experience in health promotion, community-based prevention/intervention, and/or health disparities researchKnowledge/Skills/Abilities• Ability to communicate clearly, both orally and in writing English• Strong interpersonal skills sufficient to inspire, lead, and work effectively with diverse groups.• Ability to effectively direct, manage, and lead professional and support staff.• Excellent problem-solving skills with proven ability to strategize, prioritize, and multitask to meet goals and deadlines.• Ability to make presentations and prepare reports.Job Close Date06/11/2026Special Instructions to ApplicantPositions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. We are only accepting applications submitted by June 11, 2026. The University of South Carolina offers a valuable benefits package including but not limited to: • Health and Life Insurance• Retirement Programs• Paid Tuition• Dependent Scholarships• Annual Leave• Sick Leave• 13 Paid Holidays (including an extended December holiday)• Paid Parental Leave• Professional Development Opportunities Clickhttps://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsc.edu%2Fabout%2Foffices_and_divisions%2Fhuman_resources%2Fcareers%2Findex.php&data=05%7C01%7CKURTRS%40email.sc.edu%7Ceca45df616784275e15908dab2a706ac%7C4b2a4b19d135420e8bb2b1cd238998cc%7C0%7C0%7C638018727680845870%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=j6sQGvabHDZHDmRBFwMrq8P8QCuDmChuJ%2FH5%2F8hDRUw%3D&reserved=0 to learn more about why you should work at USC .To apply, please visit: https://apptrkr.com/7113249EEO StatementThe University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.Copyright ©2025 Jobelephant.com Inc. All rights reserved.https://www.jobelephant.com/

Post Doctoral Fellow

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b>Department of Physiology
</b></div></div><div></div><div><div>Rank<b>Assistant Professor
</b></div></div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><h4 class="jobSectionHeader"><b>Job Title</b></h4>
<p>Assistant Professor of Physiology (Computational/AI Focus)</p>
<h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>The Department of Physiology invites applications for a full-time, Assistant Professor position. We seek a dynamic, innovative researcher utilizing Large Language Models (LLMs), Generative AI, or advanced natural language processing (NLP) to advance mechanistic understanding in Neuroscience, or Gastrointestinal/Endocrinology, or Reproduction, or Respiratory Physiology. The successful candidate will establish an externally funded research program, contribute to high-quality teaching, and leverage computational approaches to revolutionize physiological research.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<ul><li><b>Research:</b> Establish and maintain a vigorous, independently funded research program focusing on the application of Large Language Models (LLMs) to physiological data, such as mining literature for mechanistic insights, modeling system interactions, or developing AI-driven diagnostic/predictive tools in their specialized field (Neuro/GI/Repro/Resp).</li>
<li><b>Teaching:</b> Deliver high-quality instruction in physiology courses to graduate and professional (medical/dental) students. Develop curriculum incorporating computational physiology and AI literacy.</li>
<li><b>Mentorship:</b> Mentor graduate students, postdoctoral fellows, and undergraduate trainees in both traditional lab techniques and computational methodology.</li>
<li><b>Service:</b> Participate in departmental, university, and professional society committees. Collaborate with clinical departments to foster translational AI initiatives.</li>
</ul><h4 class="jobSectionHeader"><b>Required Qualifications</b></h4>
<ul><li>Ph.D. in Physiology, or Neuroscience, or Gastrointestinal/Endocrinology, or Reproduction, or Respiratory Physiology or Computational Biology, Data Science, or a closely related discipline.</li>
<li>Demonstrated expertise in applying Large Language Models (LLMs), AI, or machine learning to biomedical datasets.</li>
<li>A strong record of research publications in high-impact physiology or computational journals.</li>
<li>Evidence of, or strong potential to obtain, extramural funding.</li>
<li>Excellent written and verbal communication skills.</li>
</ul><h4 class="jobSectionHeader"><b>Preferred Qualification
</b></h4><ul><li>Postdoctoral training in a physiology-related field.</li>
<li>Experience in bridging traditional bench-top physiology with AI/computational modeling.</li>
<li>Prior teaching experience in medical or graduate-level physiology is preferred.</li>
</ul><h4 class="jobSectionHeader"><b>Application Instructions</b></h4>
<ul><li>Cover Letter</li>
<li>Curriculum Vitae</li>
<li>Research Statement (including future funding plans)</li>
<li>Teaching Statement</li>
<li>List of three professional references</li>
</ul><br>
<b>Please upload CV in ENGLISH ONLY</b></div></div><p></p>

Assistant Professor of Physiology (Computational/AI Focus)

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