171 parallel-computing-numerical-methods-"Multiple" Fellowship positions at Harvard University in United States
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and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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Details Title Postdoctoral Fellowship in Electrical and Computer Engineering School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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robust leadership development and training to rising public leaders each year. The fellowships offer students an intensive, cohort-based co-curricular program grounded in servant leadership and
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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Details Title Postdoctoral Fellow / Visiting Scholar (paid) Aga Khan Program for Islamic Architecture, Harvard University School Faculty of Arts and Sciences Department/Area Aga Khan Program for
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Details Title Postdoctoral Fellowship in Computer Science - Procaccia Lab School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Patel’s group to produce highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The candidate should be interested in
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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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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods