132 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Princeton University
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil
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: 277494260 Position: Postdoctoral Research Associate Description: The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of
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University invites applications for postdoctoral positions. Our lab works in the areas of ultrafast science, nanoscale thermal transport, and microelectronics, for applications in energy-efficient computing
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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of the university.Successful candidates will receive a competitive salary and applicable Princeton University benefits in accordance with university guidelines, a taxable moving allowance, and a research allowance. PhD is
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health.We seek applicants to join any of the several
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. Christopher Emrich at the University of Central Florida. The appointment will be through Princeton's School of Public and International Affairs. The research position requires a PhD in a relevant field (e.g
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools