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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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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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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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at https://puwebp.princeton.edu/AcadHire/position/37762 and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information for at least two references. The work
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doctoral degree in a related field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/39241 and submit a cover letter, curriculum vitae, contact information for three
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://puwebp.princeton.edu/AcadHire/position/38681 and submit a cover letter, a CV with publication list, and the names and contact information of 3 references. Education Required: Doctorate Degree Expected Salary Range: PDRA
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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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the biochemical and mechanical mechanisms that define pattern formation during branching morphogenesis of the lung and mammary gland. Further information about the lab can be found at www.princeton.edu
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and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work independently within a team environment; and have excellent organizational, record-keeping, and verbal and