143 parallel-computing-numerical-methods research jobs at Harvard University in United States
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PhD in theoretical neuroscience, physics, computer science, or related fields is required. Applicants must demonstrate strong analytical and numerical skills. Additional Qualifications Special
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The Charles A. King Trust Postdoctoral Fellowship Program supports basic and clinical research on the causes of human disease with the mission of improving its treatment. The program provides
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regimes of deep networks. Basic Qualifications: A PhD is required. We seek candidates with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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of private-sector data to understand disparate impacts in the recent economic recession and recovery. Much of the team's ongoing research uses quasi-experimental methods to identify causal effects and test the
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quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods and
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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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The Postdoctoral Diversity Enrichment Program (PDEP) provides $60,000 over three years to support the career development activities and success of underrepresented postdoctoral fellows in a degree