198 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Harvard University in United States
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement
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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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for opportunities abroad. These grants present an excellent opportunity for recently minted scholars to deepen their expertise, to acquire new skills, to work with additional resources, and to make connections with
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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design (using computer-aided software). Special Instructions A cover letter and current CV are required as part of the application. SEAS is dedicated to building a diverse and welcoming community, and we
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may include—but are not limited to—AI-based grid operation and planning, reinforcement learning for distributed system coordination, electricity market design, pricing mechanisms for reliability and
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attraction to artificial light that took place over summer 2025. Candidates will be expected to plan and lead behavioral experiments; acquire and analyze relevant data; supervise and mentor undergraduate
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly
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to prioritize work and coordinate research protocols with lab members Excellent attention to detail and organization skills Interest in learning and strengthening existing skillsets Special Instructions We highly
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences