176 parallel-computing-numerical-methods "Multiple" Fellowship positions at Harvard University
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
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environmental and agricultural economics topics and methods. Faculty mentors for this program will include Ishan Nath , Anna Russo , Wolfram Schlenker , and Charles Taylor . An important goal of the fellowship is
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discovery to find novel compounds to treat pain, epilepsy, and multiple sclerosis by modulating the function of particular ion channels. The work will be based on electrophysiological studies of ion channels
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Description The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected
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School: Harvard Medical School Position Description: As part of its Marshall J. Seidman Fellowship Program to support impactful health policy research, the Department of Health Care Policy at Harvard
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Details Title Harvard Quantum Initiative Prize Postdoctoral Fellow School Multiple Schools - Joint Search Department/Area Harvard Quantum Initiative Position Description The Harvard Quantum
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southern Africa. Familiarity with methods for collection and analysis of common disease survey and surveillance data, especially HIV. Experience using modern Bayesian computing and probabilistic modelling
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enthusiastic Research Fellow to help in the development and application of novel 3D bioprinting methods for disease modeling and therapeutic tissues. The ideal candidate will report to the Principal Investigator