156 computer-programmer-"https:"-"https:"-"https:" research jobs at Harvard University
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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data in near-term era quantum computers. Applicants with backgrounds in quantum information or particle physics are both encouraged to apply. Candidates with strong expertise in machine learning, quantum
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of developmental and/or regenerative neurobiology, neuronal cell biology, and/or nervous system disease involving the cerebral cortex to join an ongoing research program focusing on the developmental, degenerative
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pedagogy projects over the course of the year. The fellowship is renewable for a second year at the discretion of the Center. We plan to welcome three new and up to three returning fellows each year
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Collective Intelligence Project (CIP) Research Fellowship Eligibility: Late-stage PhD candidates (ABD) or early-career postdoctoral researchers in Political Science, Computational Social Science
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, the individual will support ongoing computational neuroscience projects focused on neural population dynamics and learning in complex systems. Key responsibilities will include assisting with the development and
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and at national/international conferences. ● Collaborate with an interdisciplinary team of biostatisticians, computer scientists, climate scientists and community and industry partners. ● Contribute
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories