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Responsibilities<br><br>Own and lead multiple physiology and exercise research initiatives for WHOOP Labs Doha as part of multi-site data collection efforts. Execute study sessions with participants and provide in-the-moment movement coaching and support as needed to ensure successful protocol compliance. Collaborate closely with the WHOOP Labs Boston team to understand project goals, technical constraints, and protocol nuances. Own localization of protocols for execution in Doha including any required changes to activities, session structure, or sample. Develop and maintain clear research plans, workflows, and deliverables, adapting to evolving priorities and constraints. Manage research programs and dependencies using project management tools, ensuring visibility, accountability, and on-time delivery. Collaborate with other members of the WHOOP Labs Doha team such as Recruitment, Lab Management, and other Researchers to ensure successful end-to-end study delivery. Provide best-in-class customer service to WHOOP Labs Doha visitors. Communicate research updates and findings clearly and confidently, translating complex insights into recommendations that inform decision-making.<br><br>Qualifications<br><br>Bachelor’s degree or professional experience in a relevant field such as research & development, human subjects research, engineering, physiology, or a related discipline.2+ years of experience conducting research in a physiology, performance science, or similar environment. Experience conducting AMR, VO2 Max, strength assessment, or similar protocols desired. Experience applying research methods relevant to physiology such as coaching on specific exercises / movements, leading group activities, or sports coaching. Strong project and program management skills, with comfort using tools such as Jira or similar planning frameworks. Ability to manage multiple concurrent research initiatives and operate effectively in ambiguous, fast-paced environments. Excitement to work in a high-energy, fast-paced startup environment Fluency in verbal and written English, WHOOP’s working language Comfort communicating with Doha locals in English and Arabic<br><br>Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.<br><br>WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.<br><br>At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.<br><br>In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.<br><br>These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Overview<br><br>University of Doha for Science and Technology (UDST), officially established by Emiri Decision No. 13 of 2022, is Qatar’s first national applied university and the country’s premier destination for academic, technical, and professional education. With more than 9,000 students and 700 staff, UDST offers over 70 bachelor’s, master’s, diploma, and certificate programs across its five colleges: Business, Computing & Information Technology, Engineering & Technology, Health Sciences, and General Education. In addition, UDST houses specialized training centers that serve both individuals and industry<br><br>UDST is recognized for its student-centered learning, cutting-edge facilities, and applied, experiential approach. Our world-class faculty and researchers leverage innovative learning technologies and foster partnerships with global institutions to develop highly skilled graduates who contribute directly to Qatar’s knowledge-based economy and support the goals of Qatar National Vision 2030. As a growing hub for research and innovation, UDST is home to advanced projects that bridge academia and industry.<br><br>UDST Center of Excellence - Artificial Intelligence and Innovation is dedicated to advancing cutting-edge AI research and developing practical solutions that tackles real-world challenges. Our mission is to drive scientific progress and technological innovation in intelligent systems, contributing to Qatar's transition to a knowledge-based economy in line with Qatar National Vision 2030.<br><br>We are seeking an outstanding Postdoctoral Researcher to join our team at the Center of Excellence in Artificial Intelligence and Innovation. This role focuses on conducting applied research in machine learning, federated learning, and explainable AI (XAI) with real-world applications in healthcare, energy, and smart infrastructure. You will develop privacy-preserving machine learning systems, create interpretable AI solutions, and deploy models on edge and cloud platforms. This is an excellent opportunity to advance trustworthy AI research while contributing to Qatar’s innovation priorities and digital transformation.<br><br>Responsibilities<br><br>Key Responsibilities<br><br>Conduct applied research in machine learning, federated learning, and explainable AI across domains such as healthcare, energy, and smart infrastructure Develop privacy-preserving machine learning systems and interpretable AI solutions that ensure transparency and trust Deploy machine learning models on edge and cloud platforms, ensuring robustness and scalability Publish research findings in top-tier peer-reviewed conferences and journals Lead and contribute to high-impact research projects aligned with the Center's priorities Ensure reproducibility and documentation of research through best practices in code and data management Integrate XAI techniques to ensure AI solutions meet ethical standards and domain-specific requirements Collaborate with internal and external stakeholders on interdisciplinary research initiatives Contribute to research proposals and external funding applications to support the Center's growth Mentor junior researchers, graduate students, and research assistants<br><br>Qualifications<br><br>Required Qualifications<br><br>PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrated research experience in machine learning, with focus on federated learning, explainable AI, or privacy-preserving MLStrong publication record in peer-reviewed journals and top-tier AI/ML conferences (e.g., Neur IPS, ICML, ICLR, AAAI, CVPR, KDD) Expertise in deep learning frameworks (PyTorch, Tensor Flow, Keras) and classical ML tools (scikit-learn, XGBoost) Strong background in machine learning, federated learning, or explainable AIExperience with evaluating AI models, benchmark design, and assessment methodologies Experience with explainable AI libraries (e.g., SHAP, LIME, Captum) and interpretability techniques Experience with federated learning frameworks (e.g., Flower, Tensor Flow Federated) or privacy-preserving MLProven ability to conduct independent research and contribute to collaborative research teams Excellent analytical, problem-solving, and communication skills, including research presentations and technical writing Proficiency with version control systems (Git) and reproducible research practices Experience with computational resources and high-performance computing environments Fluency in written and spoken English<br><br>Preferred Qualifications How to Apply<br><br>Experience applying ML to healthcare, energy, or smart infrastructure domains Familiarity with AI safety, alignment, fairness, bias detection, or responsible AI research Experience with cloud and edge deployment platforms (e.g., AWS Sage Maker, Azure ML, Docker, Kubernetes) Knowledge of MLOps practices, CI/CD pipelines, and model deployment Experience with model monitoring, drift detection, and retraining strategies Experience with data engineering and preprocessing tools (e.g., Spark, Airflow, data versioning) Understanding of human-AI interaction and user-centered AI design Familiarity with domain-specific toolkits (e.g., MONAI for medical imaging, FHIR for healthcare data) Track record of research impact (citations, h-index, awards) Experience with interdisciplinary research or industry collaborations Previous postdoctoral or industrial research experience Experience with grant writing and research funding applications Contributions to open-source AI projects or frameworks Arabic language skills What We Offer Competitive salary and comprehensive benefits package Opportunity to conduct applied research in ML, federated learning, and explainable AI with real-world impact in healthcare and energy Collaborative and dynamic work environment with cutting-edge technology Access to state-of-the-art facilities and computational resources through strategic partnerships Professional development opportunities, international collaborations, and conference participation<br>Interested Candidates Should Submit The Following Documents<br><br>Updated CV/Resume Cover letter highlighting research experience, interests, and motivation List of publications and research statement (required) Contact information for two professional references<br><br>Application Deadline: 31st March 2026<br><br>UDST is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applications from all qualified candidates regardless of race, color, religion, gender, national origin, age, disability, or veteran status.

Overview<br><br>University of Doha for Science and Technology (UDST), officially established by Emiri Decision No. 13 of 2022, is Qatar’s first national applied university and the country’s premier destination for academic, technical, and professional education. With more than 9,000 students and 700 staff, UDST offers over 70 bachelor’s, master’s, diploma, and certificate programs across its five colleges: Business, Computing & Information Technology, Engineering & Technology, Health Sciences, and General Education. In addition, UDST houses specialized training centers that serve both individuals and industry<br><br>UDST is recognized for its student-centered learning, cutting-edge facilities, and applied, experiential approach. Our world-class faculty and researchers leverage innovative learning technologies and foster partnerships with global institutions to develop highly skilled graduates who contribute directly to Qatar’s knowledge-based economy and support the goals of Qatar National Vision 2030. As a growing hub for research and innovation, UDST is home to advanced projects that bridge academia and industry.<br><br>UDST Center of Excellence - Artificial Intelligence and Innovation is dedicated to advancing cutting-edge AI research and developing practical solutions that tackles real-world challenges. Our mission is to drive scientific progress and technological innovation in intelligent systems, contributing to Qatar's transition to a knowledge-based economy in line with Qatar National Vision 2030.<br><br>We are seeking an outstanding Postdoctoral Researcher to join our team at the Center of Excellence in Artificial Intelligence and Innovation. This role focuses on conducting applied research in machine learning, federated learning, and explainable AI (XAI) with real-world applications in healthcare, energy, and smart infrastructure. You will develop privacy-preserving machine learning systems, create interpretable AI solutions, and deploy models on edge and cloud platforms. This is an excellent opportunity to advance trustworthy AI research while contributing to Qatar’s innovation priorities and digital transformation.<br><br>Responsibilities<br><br>Key Responsibilities<br><br>Conduct applied research in machine learning, federated learning, and explainable AI across domains such as healthcare, energy, and smart infrastructure Develop privacy-preserving machine learning systems and interpretable AI solutions that ensure transparency and trust Deploy machine learning models on edge and cloud platforms, ensuring robustness and scalability Publish research findings in top-tier peer-reviewed conferences and journals Lead and contribute to high-impact research projects aligned with the Center's priorities Ensure reproducibility and documentation of research through best practices in code and data management Integrate XAI techniques to ensure AI solutions meet ethical standards and domain-specific requirements Collaborate with internal and external stakeholders on interdisciplinary research initiatives Contribute to research proposals and external funding applications to support the Center's growth Mentor junior researchers, graduate students, and research assistants<br><br>Qualifications<br><br>Required Qualifications<br><br>PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrated research experience in machine learning, with focus on federated learning, explainable AI, or privacy-preserving MLStrong publication record in peer-reviewed journals and top-tier AI/ML conferences (e.g., Neur IPS, ICML, ICLR, AAAI, CVPR, KDD) Expertise in deep learning frameworks (PyTorch, Tensor Flow, Keras) and classical ML tools (scikit-learn, XGBoost) Strong background in machine learning, federated learning, or explainable AIExperience with evaluating AI models, benchmark design, and assessment methodologies Experience with explainable AI libraries (e.g., SHAP, LIME, Captum) and interpretability techniques Experience with federated learning frameworks (e.g., Flower, Tensor Flow Federated) or privacy-preserving MLProven ability to conduct independent research and contribute to collaborative research teams Excellent analytical, problem-solving, and communication skills, including research presentations and technical writing Proficiency with version control systems (Git) and reproducible research practices Experience with computational resources and high-performance computing environments Fluency in written and spoken English<br><br>Preferred Qualifications How to Apply<br><br>Experience applying ML to healthcare, energy, or smart infrastructure domains Familiarity with AI safety, alignment, fairness, bias detection, or responsible AI research Experience with cloud and edge deployment platforms (e.g., AWS Sage Maker, Azure ML, Docker, Kubernetes) Knowledge of MLOps practices, CI/CD pipelines, and model deployment Experience with model monitoring, drift detection, and retraining strategies Experience with data engineering and preprocessing tools (e.g., Spark, Airflow, data versioning) Understanding of human-AI interaction and user-centered AI design Familiarity with domain-specific toolkits (e.g., MONAI for medical imaging, FHIR for healthcare data) Track record of research impact (citations, h-index, awards) Experience with interdisciplinary research or industry collaborations Previous postdoctoral or industrial research experience Experience with grant writing and research funding applications Contributions to open-source AI projects or frameworks Arabic language skills What We Offer Competitive salary and comprehensive benefits package Opportunity to conduct applied research in ML, federated learning, and explainable AI with real-world impact in healthcare and energy Collaborative and dynamic work environment with cutting-edge technology Access to state-of-the-art facilities and computational resources through strategic partnerships Professional development opportunities, international collaborations, and conference participation<br>Interested Candidates Should Submit The Following Documents<br><br>Updated CV/Resume Cover letter highlighting research experience, interests, and motivation List of publications and research statement (required) Contact information for two professional references<br><br>Application Deadline: 31st March 2026<br><br>UDST is an equal opportunity employer committed to building a diverse and inclusive workforce. We welcome applications from all qualified candidates regardless of race, color, religion, gender, national origin, age, disability, or veteran status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>The Biological Sciences Program at Carnegie Mellon University in Qatar invites applications for a full-time Research Assistant position on a project investigating how the extracellular matrix regulates metastatic breast cancer progression.&nbsp;<br>The project combines molecular biology, cell biology, protein biochemistry, and cancer biology to uncover mechanisms of gene regulation underlying tumor progression and metastasis.<br>The position is funded for a period of 1 year and 6months with a possible renewal based on performance and continued funding.</b></p><br><p><b>Required Qualifications:<br>- At minimum, a Bachelor's degree in Biological Sciences, Cell Biology, Molecular Biology, Biotechnology, or a related discipline.<br>- Demonstrated experience with mammalian cell culture and molecular biology<br>- Documented and hands-on experience with qPCR, miRNA biology, and Western blotting techniques<br>- Strong organizational skills and attention to detail.<br>- Excellent written and oral communication skills in English.<br>- Ability to work independently while contributing effectively within a collaborative research team.</b></p><br><p><br><b>Preferred Qualifications:<br>Experience with one or more of the following is highly desirable:<br>- Flow cytometry<br>- Molecular cloning<br>- RNA interference (siRNA, miRNA, morpholinos)<br>- Cell migration and adhesion assays<br>- Bioinformatics or RNA-seq analysis</b></p><br><p><br><b>Position Responsibilities: The Research Assistant will:<br>- Maintain mammalian cell cultures under BSL-2 conditions.<br>- Perform RNA and miRNA extraction, end-point, and quantitative PCR.<br>- Conduct flow cytometry and Western blot experiments and quantitative protein analysis.<br>- Perform mammalian cell transfections and gene knockdown/overexpression experiments using electroporation and Lipofectamine-based transfection.<br>- Assist with flow cytometry experiments and data analysis.<br>- Carry out molecular cloning and plasmid validation.<br>- Collect and analyze experimental data using different tools and platforms.<br>- Maintain accurate laboratory records, databases and experimental documentation.<br>- Help supervise and mentor undergraduate researchers.<br>- Participate in laboratory meetings and contribute to manuscripts, conference presentations, and reports.</b><br>&nbsp;</p><br><p><span><b>To be considered for this position, you must submit an application containing:</b></span><br><b>- Cover letter<br>- CV<br>- Two (2) references</b></p><br><p><b>Joining the CMU team opens the door to an array of exceptional benefits.</b></p><br><p><b>Benefits eligible employees enjoy a wide array of benefits including <span>comprehensive medical, prescription, dental, and vision insurance</span>as well as a generous <span>retirement savings program</span> with employer contributions. Unlock your potential with <span>tuition benefits</span>, take well-deserved breaks with ample <span>paid time off</span> and observed <span>holidays</span>, and rest easy with life and accidental death and disability insurance.&nbsp;</b></p><br><p><b>Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <span>Family Concierge Team</span> to help navigate childcare needs, <span>fitness center access</span><span>,</span> and much more!</b></p><br><p><b>For a comprehensive overview of the benefits available, explore our <span>Benefits page</span><span>.</span></b></p><br><p><b>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.</b></p><br><p><b>Are you interested in an exciting opportunity with an exceptional organization?! Apply today!</b></p><br><p><b>Location</b></p><br>Doha, Qatar<p><b>Job Function</b></p><br>Researchers<p><b>Position Type</b></p><br>Staff – Fixed Term (Fixed Term)<p><b>Full Time/Part time</b></p><br>Full time<p><b>Pay Basis</b></p><br>Hourly<p><b>More Information:&nbsp;</b></p><br><ul><li><p>Please visit <b>“Why Carnegie Mellon” </b>to learn more about becoming part of an institution inspiring innovations that change the world.&nbsp;</p><br></li><li><p>Click here to view a listing of employee benefits</p><br></li><li><p><b>Carnegie Mellon University is an Equal Opportunity <span><span><span><span><span><span><span><span><span>Employer/Disability/Veteran</span></span></span></span></span></span></span></span></span></b>.&nbsp;</p><br></li><li><p><b>Statement of Assurance</b></p><br></li></ul><br><br><br><br> </div>

<p>The Biological Sciences Program at Carnegie Mellon University in Qatar invites applications for a full-time Research Assistant position on a project investigating how the extracellular matrix regulates metastatic breast cancer progression. The project combines molecular biology, cell biology, protein biochemistry, and cancer biology to uncover mechanisms of gene regulation underlying tumor progression and metastasis. The position is funded for a period of 1 year and 6months with a possible renewal based on performance and continued funding.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>At minimum, a Bachelor's degree in Biological Sciences, Cell Biology, Molecular Biology, Biotechnology, or a related discipline.</li><li>Demonstrated experience with mammalian cell culture and molecular biology</li><li>Documented and hands-on experience with qPCR, miRNA biology, and Western blotting techniques</li><li>Strong organizational skills and attention to detail.</li><li>Excellent written and oral communication skills in English.</li><li>Ability to work independently while contributing effectively within a collaborative research team.</li></ul><p>Experience with one or more of the following is highly desirable:</p><ul><li>Flow cytometry</li><li>Molecular cloning</li><li>RNA interference (siRNA, miRNA, morpholinos)</li><li>Cell migration and adhesion assays</li><li>Bioinformatics or RNA-seq analysis</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are seeking a motivated Graduate Research Associate to support research on AI- and computer vision-based thermographic inspection of photovoltaic (PV) panels.</p><br><p>The role involves developing deep learning algorithms, building thermal image mosaics, collecting and analyzing thermal datasets, and contributing to</p><br><p>research on PV health monitoring.</p><br><p>Applicants should have a bachelor's degree in Computer Science, Electrical Engineering, or a related eld, with strong programming skills in Python and/or C/C++.</p><br><p>Familiarity with PyTorch, computer vision, and Linux is required. Experience with thermal imaging, sensor integration, data analysis, and research writing is desirable.</p><br><p>The position is part-time and available immediately.</p><br><p>To be considered for this position, Interested candidates should submit a resume and <span><b>cover letter</b></span> outlining their qualifications and research interests.</p><br><p><b>Joining the CMU team opens the door to an array of exceptional benefits.</b></p><br><p><b>Benefits eligible employees enjoy a wide array of benefits including <span>comprehensive medical, prescription, dental, and vision insurance</span>as well as a generous <span>retirement savings program</span> with employer contributions. Unlock your potential with <span>tuition benefits</span>, take well-deserved breaks with ample <span>paid time off</span> and observed <span>holidays</span>, and rest easy with life and accidental death and disability insurance.&nbsp;</b></p><br><p><b>Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <span>Family Concierge Team</span> to help navigate childcare needs, <span>fitness center access</span><span>,</span> and much more!</b></p><br><p><b>For a comprehensive overview of the benefits available, explore our <span>Benefits page</span><span>.</span></b></p><br><p><b>At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.</b></p><br><p><b>Are you interested in an exciting opportunity with an exceptional organization?! Apply today!</b></p><br><p><b>Location</b></p><br>Doha, Qatar<p><b>Job Function</b></p><br>Researchers<p><b>Position Type</b></p><br>Staff – Fixed Term (Fixed Term)<p><b>Full Time/Part time</b></p><br>Part time<p><b>Pay Basis</b></p><br>Hourly<p><b>More Information:&nbsp;</b></p><br><ul><li><p>Please visit <b>“Why Carnegie Mellon” </b>to learn more about becoming part of an institution inspiring innovations that change the world.&nbsp;</p><br></li><li><p>Click here to view a listing of employee benefits</p><br></li><li><p><b>Carnegie Mellon University is an Equal Opportunity <span><span><span><span><span><span><span><span><span>Employer/Disability/Veteran</span></span></span></span></span></span></span></span></span></b>.&nbsp;</p><br></li><li><p><b>Statement of Assurance</b></p><br></li></ul><br><br><br><br> </div>