27 machine-learning-postdoc-"https:" "Naturalis" Postdoctoral positions at Harvard University
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Details Title Stipendee Postdoc School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Department Position Description The Segel Lab invites applications for a
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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Harvard University, Department of Physics Position ID: Harvard-Department of Physics-POSTDOC [#31147] Position Title: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts 02138
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high-achieving scholars from premier universities in the U.S. to do postdoctoral research at one of eight Israeli universities (Israeli University Postdoc Track) or spend part of their time at one
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professional development needs of postdocs by providing reimbursement for activities that directly enhance the individual’s professional growth, and which their PIs or faculty advisors may be unable to fund
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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Opportunities Sabbatical Opportunities Postdoc Opportunities Funding Databases Gifts vs Grants Proposal Preparation Proposal Preparation expand_more Overview and Onboarding PI Eligibility Grant System Access
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. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical modeling. This postdoc will also be responsible for reporting
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at: https://projects.iq.harvard.edu/ultra-qm . Applicants may also be considered for a potential future Gordon and Betty Moore Foundation Postdoctoral Fellowship. This fellowship would provide funding for up
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, and light scattering) with modeling of light transport. The postdoc will primarily work on the experimental studies but will also have the opportunity to participate in computational and analytical