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. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy. Applicants must apply online at https
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Qualifications: PhD in a relevant discipline. Interested applicants must apply online at https://www.princeton.edu/acad-positions/position/37762 and include a cover letter, curriculum vitae, a brief statement of
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engineering, mechanical engineering, or related fields. Specific inquiries about the position may be sent to aditya.sood@princeton.edu with the subject line "postdoc_2025_inquiry". Positions are for one year
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required. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired
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. Domestic and international perspectives are welcome. Individuals with a PhD degree or who expect to receive a Ph.D. by July 15, 2026, are preferred. The positions are offered for one year, with
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applications for postdoctoral or more senior research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year
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$10,000 annually in research funding. Applicants should have a strong track record of research excellence in a related field, and should have or be approaching a PhD in a related discipline (Physics, EE
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an interdisciplinary environment, possess excellent written and spoken English skills, and hold a PhD in a relevant discipline. The term of appointment is based on rank. The ideal start date is in early 2026, with
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for International and Regional Studies (PIIRS) invites applications for a Postdoctoral Research Associate for the 2026-2027 academic year. The ideal candidate is an outstanding recent PhD who focuses on contemporary
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-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral