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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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apply online at https://puwebp.princeton.edu/AcadHire/position/39061 and submit a cover letter, curriculum vitae, a brief statement of research interest, and names and contact information for three
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with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g. optical parametric amplifiers), electrical switching, high
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and submit a cover letter, resume, a brief statement of research interests, and contact information for at least two references. This position is subject to the University's background check policy
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and contact information for three references. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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sample, transcript and the names and contact information of three references. The cover letter should describe how applicants might engage in collaborative research projects with Princeton politics faculty