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: 280195745 Position: Postdoctoral Research Associate Description: Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for the Postdoctoral Research Associate role
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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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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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://www.princeton.edu/acad-positions/position/40101 and include a cover letter, C.V., statement of research, one or at most two research papers, and contact information for three references. Applications will be
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research statement that addresses the criteria above (2 pg max, excluding references) -A curriculum vitae -Names and contact information for three references who can provide letters. References will only be
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, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge
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. EST.Interested applicants must apply online at https://www.princeton.edu/acad-positions/position/40821 and submit a CV, cover letter, writing sample, transcript and the names and contact information of three
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contributions and expertise *Names and contact information for three references PhD is expected by the start date. Appointments are for one year, with the possibility of renewal based on continued funding and
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/AcadHire/position/40781 and submit a cover letter, CV, and contact information for three references. This position is subject to the University's background check policy. The work location for this position
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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