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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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The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist
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: 281099187 Postdoctoral Research Associate D-26-COS-00001 | Research | Computer Science The Computer Science Department invites applications for postdoctoral research or more senior research positions to work
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: 280940116 Postdoctoral Research Associate D-26-LSI-00001 | Research | Genomics A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab
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overall research efforts. Training also includes an introduction to various advanced neuroimaging methodologies. Essential qualifications for these positions include: a Ph.D. in Neuroscience, Computer Science
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: 281522556 Postdoctoral Research Associate D-26-COS-00002 | Research | Computer Science Call for Applications: Princeton DeCenter Postdoctoral Fellowships (Fall 2026) The Princeton DeCenter invites
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and Energy Science Computational Science and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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addition to model development and evaluation. This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning