720 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Harvard University
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nonprofit/academic institution, commit ≥ 80-90 % effort to PD project; open to U.S. and international applicants. Deadline Month: October (LOI) and March (full proposal) Description: Competitive two-year
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• Ph.D. in areas such as economics, statistics, biostatistics, computer science or a related quantitative field Additional Qualifications • Exceptional programming and analytical skills (including R
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, epilepsy, and other neurological disorders. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective
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communicable diseases, and made substantial advancement in our understanding of the mechanisms of seasonality of influenza, among many other achievements. The Senior Program Coordinator (SPC) will serve as the
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builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join the Harvard Faculty of Arts and Sciences? The Faculty of Arts and Sciences
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of an acquired immune response. We welcome applications from PhD graduates who are interested in this or a related field, particularly those who may bring a new technology, and/or advanced microscopy skills and/or
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& Real Estate and Harvard Campus Services are committed to cultivating an organization that is diverse, equitable, and inclusive. Department Summary The Graduate Commons Program serves 3500 units and
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with subject matter researchers and investigators in large NIH consortia. Basic Qualifications Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, computational biology
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society. IIHP administers two academic programs: the Harvard PhD Program in Health Policy and the Harvard College Secondary Field in Global Health and Health Policy. The PhD program draws on faculty from
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of