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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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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex
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(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 (the Harvard Kenneth C
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statistics, computing, machine learning (ML), and genetics and genomics, with a focus on large-scale genetic, genomic, and phenotype data. The work will involve both methodological research and collaboration
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compensation and working conditions. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as machine learning, computer science or closely related field. Excellent programming skills and practical experience
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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, spreadsheet or statistical software applications or program platforms Submits periodic reports of projects status to supervisor, regularly suggesting and/or implementing additional tests or modifications in
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Research Assistant III to significantly contribute to a research program funded by the Wellcome Leap, “The missed vital sign”, involving the use of human Organ Chips to advance knowledge and development
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) in which they can best carry out their research program.