212 parallel-and-distributed-computing-phd Fellowship positions at Harvard University
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applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate
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at the Institute. Basic Qualifications Candidates must have received their PhD no later than February 2026, and must have received their PhD within the past five years. Scholars who have not had past opportunities
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or PhD graduates interested in this field. In addition to carrying out a jointly designed research project, the successful candidate will be expected to apply for fellowship funding, contribute
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experiments while also taking an active role overall Program strategy and alignment with the sponsor’s contractual requirements. Work closely with a collaborative multi-disciplinary team of scientists
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culture or animal model systems. Additional Qualifications Special Instructions Required documents: Curriculum Vitae Statement of Research for PhD work Cover Letter describing your interest in the lab and
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(yes, that means some museum and fieldwork!). Comparative analysis using advanced computational tools and wet lab techniques. Hands-on dissections of invertebrates for anatomical and physiological
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. Depending on available funding, one of the positions may be specifically targeted at candidates interested in the scaling regimes of deep networks. Basic Qualifications A PhD is required. We seek candidates
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in the Regehr lab at Harvard Medical School. The work of the Regehr lab is focused on the cerebellum. We welcome applications from recent PhD graduates who are interested in these or related fields
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of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Research and development of new AI or ML
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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