18 electronics-"https:"-"SciLifeLab" Postdoctoral research jobs at Harvard University
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interdisciplinary approaches that combine advanced microscopy (confocal, electron, in vivo multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab
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analysis, particularly with JWST data. Contact Information: Daniel Eisenstein Contact Email: deisenstein@cfa.harvard.edu Equal Opportunity Employer: We are an equal opportunity employer and all qualified
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contact information. Applications will be reviewed on a rolling basis until the position is filled. For more information, please visit our website – https://www.liu-group.org – or contact the department
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research proposal, and two to three references’ names and contact information. Applications must be received by 4/15/26. For more information, please visit our website – https
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12 Oxford Street Cambridge MA 02138 Contact Email: lavin@chemistry.harvard.edu Equal Opportunity Employer: Harvard University is committed to equal opportunity and non-discrimination . We seek talent
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description above on how to apply. Contact: William Farrell, 617-495-2904 Email: Postal Mail: Harvard Physics Department 17 Oxford Street Cambridge, MA 02138 Web Page: http://www.physics.harvard.edu/
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basis until the position is filled. For more information, please visit our website, https://www.microbialchemist.com/ , or contact the department directly. Please note: This position is contingent upon
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for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
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field work. Contact Information: For more information, please contact Dr. Avalon C.S. Owens. Contact Email: aowens@fas.harvard.edu Equal Opportunity Employer: We are an equal opportunity employer and all
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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