applied scientist

science

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Medical Science Liaison
  </strong>
  to join our dynamic team.
 </p>
 <p>
  The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.&nbsp;
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Scientific Engagement &amp; Relationship Building Develop and maintain strong, long-term, peer-to-peer relationships with KOLs, HCPs, and other external experts.&nbsp;
  </li>
 </ul>
 <ul>
  <li>
   Act as a trusted scientific resource and point of contact for medical and scientific information.&nbsp;
  </li>
 </ul>
 <ul>
  <li>
   Medical Education &amp; Information Exchange Deliver accurate, fair-balanced, and up-to-date scientific presentations to external stakeholders.&nbsp;
  </li>
 </ul>
 <ul>
  <li>
   Respond to unsolicited medical inquiries in compliance with company and regulatory guidelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor Degree of Medicine, Vet, Dentist or Pharmacy
  </li>
 </ul>
 <ul>
  <li>
   &nbsp;1 year of experience in Medical affairs field is a must and in the disease area (Diabetes and metabolic disorders) is a plus
  </li>
 </ul>
 <ul>
  <li>
   Post graduate studies in a related discipline is also appreciated
  </li>
 </ul>
</div>


Medical Science Liaison

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p><b><br>
Job Summary</b></p><p>
We are seeking a passionate and talented <b>Medical Science Liaison</b> to join our dynamic team.</p><p>
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p>
Key Responsibilities
</p><ul><li>Scientific Engagement &amp; Relationship Building Develop and maintain strong, long-term, peer-to-peer relationships with KOLs, HCPs, and other external experts.</li><li>
Act as a trusted scientific resource and point of contact for medical and scientific information.</li><li>
Medical Education &amp; Information Exchange Deliver accurate, fair-balanced, and up-to-date scientific presentations to external stakeholders.</li><li>
Respond to unsolicited medical inquiries in compliance with company and regulatory guidelines.</li></ul><p><b>
Requirements</b></p><ul><li>
Bachelor Degree of Medicine, Vet, Dentist or Pharmacy</li><li>
 1 year of experience in Medical affairs field is a must and in the disease area (Diabetes and metabolic disorders) is a plus.</li><li>
Post graduate studies in a related discipline is also appreciated.</li></ul></div>

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Administrative
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
<p></p><p>In our changing world, you are expected to deliver high-quality work that enables your teams and/or clients. You create a positive working environment, and build relationships quickly and easily. You are curious, anticipate and address the needs of others, and look to fully understand each task before assisting in the most appropriate way. You are organised, and work collaboratively and efficiently, staying energised even when faced with challenges or ambiguity.
</p><p></p><p>Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
</p><p></p><ul><li>Apply a learning mindset, take ownership of your development, and share and adopt best practices to continuously upskill yourself and others.
</li><li>Conduct yourself in a professional manner and take responsibility for your work and commitments.
</li><li>Actively listen, check your understanding, interpret and respond appropriately.
</li><li>Tailor your communication style and method based on your audience.
</li><li>Organise and prioritise information and tasks to achieve efficient and effective outcomes.
</li><li>Suggest new ideas or solutions when problems and/or opportunities arise.
</li><li>Adapt to meet the changing needs, processes and assignments of your teams and/or clients.
</li><li>Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
</li></ul><p></p><p><b>Minimum years experience required
</b></p><ul><li>Add here AND change text color to black or remove bullet and section title if not applicable
</li></ul><p></p><p><b>Additional application instructions
</b></p><ul><li>Add here AND change text color to black or remove bullet and section title if not applicable
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>0%
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Science Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
<p></p><p>Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
</p><p></p><p>Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
</p><p></p><ul><li>Apply a learning mindset and take ownership for your own development.
</li><li>Appreciate diverse perspectives, needs, and feelings of others.
</li><li>Adopt habits to sustain high performance and develop your potential.
</li><li>Actively listen, ask questions to check understanding, and clearly express ideas.
</li><li>Seek, reflect, act on, and give feedback.
</li><li>Gather information from a range of sources to analyse facts and discern patterns.
</li><li>Commit to understanding how the business works and building commercial awareness.
</li><li>Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, Data-Driven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning {+ 12 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>Yes
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Science - Associate

The American University in Cairo

<div>
 <p>
  <strong>
   Reports to:
  </strong>
  Technical Operations Manager and Industrial Liaison
 </p>
 <p>
 </p>
 <p>
  <strong>
   Purpose:
  </strong>
 </p>
 <p>
  The job holder is responsible for operating and maintaining the assigned labs, providing the necessary support for faculty, researchers, teaching assistants, graduate or undergraduate students and external customers, including supervising the installation, operation and maintenance of lab equipment, assisting in procurement vendors including market surveys and the collection of price quotations and spare parts, training equipment users, assuring equipment operation, setting up the equipment operation schedule, organizing work flow, ensuring lab safety, and representing the Department of Mechanical Engineering in university and school events. In addition, the job holder is responsible for assisting instructors of courses to which s or he is assigned as a teaching assistant in facilitating learning activities inside and outside the classroom and the laboratory.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Ensuring assigned labs&rsquo; readiness for any technical task within its predetermined mission
  </li>
  <li>
   Operating and maintaining all assigned labs&rsquo; assets, such as machines, equipment, tools and infrastructure, under the guidance of the faculty lab supervisor
  </li>
  <li>
   Implementing and reporting all labs&rsquo; technical work instructions, Lab needs and activities to the faculty lab supervisor
  </li>
  <li>
   Running trials of the work to be carried out by students prior to the lab session
  </li>
  <li>
   Setting up, conducting, and explaining experiments to students in the assigned labs
  </li>
  <li>
   Supporting the instructors of the courses listed, dimensions or non-financial
  </li>
  <li>
   Assisting faculty lab supervisors in the development of lab manuals and procedures
  </li>
  <li>
   Facilitating the projects or research endeavors of the undergraduate or graduate students, as well as researchers and professors in their research activities or grants and engineering and science services, with the approval of the faculty lab supervisor
  </li>
  <li>
   Staying up to date and reporting to lab faculty supervisors on new or required developments in fields related to the assigned labs
  </li>
  <li>
   Procuring consumables or simple supplies from local market vendors, and performing any required market survey
  </li>
  <li>
   Contacting the vendors to get price quotations for any required items
  </li>
  <li>
   Maintaining an updated inventory of all lab items, such as equipment, devices, tools, consumables, and others
  </li>
  <li>
   Ensuring smooth operation of the lab in supporting instructors, students, and course requirements, while maintaining proper inter-lab relations
  </li>
  <li>
   Continuously training subordinates to maintain their competence in using all the labs&rsquo; assets
  </li>
  <li>
   Carrying out various manual tasks using manual tools, where applicable
  </li>
  <li>
   Ensuring safe and clean working environment within the assigned labs and their premises, in coordination with the AUC health and safety department
  </li>
  <li>
   Applying safety regulations or precautions, safe work practices, and immediately report any safety violation incident or condition or potential hazards
  </li>
  <li>
   Monitoring first aid kits, fire-fighting equipment and safety gears in coordination with the AUC clinic and health and safety department
  </li>
  <li>
   Supervising the cleanliness of the lab workplace, equipment and tools
  </li>
  <li>
   Supporting students in carrying out experimental work in labs
  </li>
  <li>
   Assisting in all required duties related to students in coordination with the faculty supervisor
  </li>
  <li>
   Assisting in preparing course material and lab handouts under the guidance of the course instructor
  </li>
  <li>
   Conducting revision or problem sessions which do not require the introduction of new materials to students under the guidance of the course instructor
  </li>
  <li>
   Leading in-class discussions and group activities which do not require the introduction of new materials to students under the guidance of the course instructor
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <strong>
   Minimum Education Requirements:
  </strong>
 </p>
 <ul>
  <li>
   B.Sc. or M. Sc. degree in mechanical or mechatronics engineering, with a minimum GPA of 3.2
  </li>
 </ul>
 <p>
  <strong>
   Experience:
  </strong>
 </p>
 <ul>
  <li>
   A minimum of one year of experience as a lab engineer or similar experience
  </li>
  <li>
   Good background in mechatronics engineering
  </li>
  <li>
   Good grasp of mechanical engineering fundamentals and ability to apply them
  </li>
  <li>
   Good background and knowledge of engineering dynamics and mechanical vibration and instrumentation
  </li>
 </ul>
 <p>
  <strong>
   Skills:
  </strong>
 </p>
 <ul>
  <li>
   Advanced English skills, reading and writing
  </li>
  <li>
   Good Arabic skills, reading and writing
  </li>
  <li>
   Good communication skills in both English and Arabic
  </li>
  <li>
   Good time management and planning skills
  </li>
  <li>
   Good interpersonal skills
  </li>
  <li>
   Good computer skills and working experience with the main Microsoft office software
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This position is open until
  <strong>
   September 23, 2025
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Placement is based on the candidate&rsquo;s experience and skills. Only candidates who make it to the shortlist will be contacted.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  "The American University in Cairo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals with disabilities are encouraged to apply."
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   &ldquo;We thank all individuals who have expressed interest in working at The American University in Cairo.&rdquo;
  </em>
 </p>
</div>


Lab Teaching Engineer, Mechanical Engineering Department, School of Science and Engineering

Microsoft

<div>
 The information extraction team in shopping is seeking a highly motivated and talented
 <strong>
  Applied Scientist
 </strong>
 to work on cutting-edge technologies in the field of information extraction in the shopping domain.
 <br/>
 <br/>
 As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.
  </li>
  <li>
   You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.
  </li>
  <li>
   You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.
  </li>
  <li>
   You will assist with documentation for senior team members, as needed.
  </li>
  <li>
   You will also learn and follow ethics and privacy policies while executing research processes or collecting information.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifcations:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)
  </li>
  <li>
   Fluency in English
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering,
  </li>
  <ul>
   <li>
    OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Solid machine learning/AI/LLM knowledge.
  </li>
  <li>
   Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.
  </li>
  <li>
   Solid knowledge of python/other ML languages and frameworks.
   <br/>
  </li>
 </ul>
 #MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Applied Scientist

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist</b></h1><div><div><p>
Cairo, Egypt</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 02, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1863248</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
The information extraction team in shopping is seeking a highly motivated and talented <b>Applied Scientist</b> to work on cutting-edge technologies in the field of information extraction in the shopping domain.</div><div><br>
As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.<br>
<br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifcations:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li><li>
You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)</li><li>
Fluency in English</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering,<br>
<ul><li>
OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.<br>
</li></ul></li><li>
Solid machine learning/AI/LLM knowledge.</li><li>
Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.<br>
</li><li>
Solid knowledge of python/other ML languages and frameworks.</li></ul><div></div><div><br>
#MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.</li><li>
You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.</li><li>
You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.</li><li>
You will assist with documentation for senior team members, as needed.
</li><li>You will also learn and follow ethics and privacy policies while executing research processes or collecting information.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Explore 423+ Science in Egypt this September. Find roles across top companies and apply now to boost your career.

423 science jobs IN Egypt

Medical Science Liaison

Medical Science Liaison

ETIC, Data Science Manager

ETIC, Data Science - Associate

Lab Teaching Engineer, Mechanical Engineering Department, School of Science and Engineering

Applied Scientist

Applied Scientist