197 computer-algorithm "https:" "IMT Atlantique" Fellowship positions at Harvard University
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Department of Energy: Oak Ridge Institute for Science and Education (ORISE): Intelligence Community (IC) Postdoctoral Research Fellowship Program Eligibility: U.S. citizenship required; Ph.D
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W.E.B. Du Bois Research Institute at the Harvard University Hutchins Center: Fellowship Program Deadline Month: January Description: The Institute annually appoints scholars who conduct individual
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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differentially private learning, its connections to replicability of algorithms, and algorithmic fairness. Basic Qualifications Candidates are required to have a doctorate or terminal degree in Computer
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics School Harvard Medical School Department/Area Position Description The Farhat Lab in the Department of Biomedical Informatics is
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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
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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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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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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flexibility, investment and planning under uncertainty, and the macroeconomic and policy implications of energy system transformation. Fellows will engage in rigorous empirical, computational, and theoretical