79 computational-physics "https:" "https:" "https:" "https:" "University of Kent" Postdoctoral positions at Cornell University in United States
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: Ithaca, New York 14850, United States of America [map ] Subject Areas: Physics / Elementary Particle Physics , Experimental High Energy Physics , Experimental Particle Physics Appl Deadline: 2026/02/15 11
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Postdoctoral Associate, Experimental Particle Physics Postdoctoral Associate, Experimental Particle Physics - CLASSE The Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE
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-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in
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Postdoctoral Associate in Large-Scale Computing for Water-Energy Systems Dr. Galelli’s Critical Infrastructure Systems Lab in the School of Civil and Environmental Engineering at Cornell University
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Program. Employment Assistance: For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu
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detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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, compute source parameters for high quality events, and interpret results to understand physical mechanisms of the Whillans Ice Stream slowdown. The ideal candidate will have a Ph.D. in Earth Sciences with a
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Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource economics, data science or closely related field, with