145 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Princeton University
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural
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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
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The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term of appointment is based on rank. Positions
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mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and
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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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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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methodologies. Essential qualifications for these positions include: a Ph.D. in Neuroscience, Computer Science, Bioengineering, Cognitive Science or other closely related fields. Experience working with behaving
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The Department of Operations Research & Financial Engineering invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research
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include: a Ph.D. in Neuroscience, Psychology, Cognitive Science, Computer Science, Engineering, or other related field, and strong experience with computational models, programming, and quantitative methods