148 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Princeton University in United States
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integrates basic research, applied research, and societal engagement, enabling distinctive impact, both academic and societal. In this context, we welcome applicants from diverse backgrounds such as computer science
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subject to Princeton University's background check policy PI270175790 Create a Job Match for Similar Jobs About Princeton University Princeton University is a vibrant community of scholarship and learning
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, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences disciplines, and a solid publication record. We seek faculty
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: 270175802 Position: Postdoctoral Research Associate Description: The Behavioral Science for Policy Lab (BSPL), directed by Professor Elke Weber, is seeking an outstanding researcher for a Postdoctoral
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are intended for early-career scientists with a research interest in data science, statistics, and machine learning. As an associate, you will join the research group of a current CSML participating faculty
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for four (4) referees, who will be asked to provide letters of support. This position is subject to the University's background check policy. Consideration of the applications will begin on March 1, 2025
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: 269870488 Position: Postdoctoral Researcher in dual-frequency comb spectroscopy at the nanoscale Description: The Princeton University Department of Chemistry seeks to hire a postdoctoral researcher for an
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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Postdoctoral or more senior research positions are available at Princeton University in the laboratory of Professor Celeste Nelson in the Department of Chemical and Biological Engineering to study
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biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant to genomics -bioinformatics -population genetics / genomics