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Description Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving abilities, and a growth mindset. Additional Qualifications Applicants should be
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initiative integrates three synergistic research thrusts: Advanced thermal storage and sensing materials Intelligent, building-scale integration of sensing and control systems Cooperative, urban-scale
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) and the Martinos Center for Biomedical Imaging (Harvard/ MIT /Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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critical. The successful candidates will join a group of supportive, mission-driven, and positively busy computational biologists and have an opportunity to collaborate with world-class biologists in the
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repetitive elements including transposable elements and tandem repeats The successful candidates will join a group of supportive and productive computational biologists and have an opportunity to
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research group focused on several synergistic goals: generating actionable Real-World Evidence ( RWE ) from multi-institutional Electronic Health Records ( EHR ), improving the generalizability of