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on campus at Princeton University. Applicants must apply online at https://www.princeton.edu/acad-positions/position/38681 and submit a cover letter, a CV with publication list, and the names and contact
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. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply. Applicants should apply at: https://www.princeton.edu/acad-positions/position/39183 and include: *A cover
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engagement, enabling distinctive impact, both academic and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology
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. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing, thermal management, and energy conversion. We seek
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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to the University's background check policy. How to apply: Applicants are required to submit an online application at https://www.princeton.edu/acad-positions/position/40261 A complete application must
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via.: https://www.princeton.edu/acad-positions/position/40221. The review of applications will start on October 15, 2025, and will continue until positions are filled. This position is subject to the
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, 2025, 11:59 p.m. 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
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University's background check policy. The work location for this position is in-person on campus at Princeton University. Applicants must apply online at https://www.princeton.edu/acad-positions/position/40983
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discipline. To apply online, please visit https://www.princeton.edu/acad-positions/position/40781 and submit a cover letter, CV, and contact information for three references. This position is subject to the