50 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Princeton University
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. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, metabolism, and
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Program for the 2027-28 academic year. As a leading global institution in interdisciplinary research on international issues, PIIRS is dedicated to advancing innovative scholarship that addresses
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The Research Program in Development Economics (RPDE) at Princeton University's School of Public and International Affairs invites applications for two Postdoctoral Research Associate positions
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The Department of Astrophysical Sciences, Princeton University, anticipates offering a number of postdoctoral or more senior research positions in theory, observation, and instrumentation, including
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University's background check policy. This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing
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Computer Science at Princeton University, with the goal of developing next-generation machine-learningâ“based interatomic potentials (MLPs) for Earth and planetary materials across extreme pressureâ“temperature
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the position may be sent to ekolemen @princeton.edu and [email protected] with the subject line âœPlasma Control Postdoc Inquiry 2026â. Application Instructions Applicants must apply online and
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: 285516954 Postdoctoral Research Associate Location: Princeton NJ Salary Range or Pay Grade: Postdoc Research Assoc $78,000-$90,000 and Assoc. Res Scholar $90,000-$110,000 Description The Computer Science
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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Research Scholar to join in research efforts of interest to its faculty. Domains of interest include nonlinear partial differential equations, computational fluid dynamics and material science, dynamical