174 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" Fellowship research jobs at Harvard University in United States
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vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https://www.huri.harvard.edu/jacyk-distinguished-fellowships Additional Qualifications Special
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Human Frontier Science Program: Postdoctoral Fellowships Eligibility: A research doctorate (Ph.D.) or a doctoral-level degree comparable to a Ph.D. with equivalent experience in basic research must
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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data. Prepare and publish scientific manuscripts as a lead author. Present research findings at national and international conferences. Collaborate with other group members and external research partners
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evidence across diverse populations using multi-source and multi-modal data, and accelerating drug discovery by leveraging these rich, integrated datasets. This role offers a unique opportunity to develop
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, and project stakeholders. Projects include: Mathematical modelling and epidemiologic analysis to develop new indicators for monitoring sustained effectiveness of HIV testing and diagnosis programmes, in
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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. Weingarten Gabbay to develop a research project within the scope of the lab focus. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale