110 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" Postdoctoral positions at Cornell University
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, United States of America [map ] Subject Areas: Biology / Ecology Statistics Ecology / Quantitative Ecology Appl Deadline: 2026/04/09 04:59 AM UnitedKingdomTime (posted 2026/03/11 04:00 AM UnitedKingdomTime, listed until
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Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1, 2020, in City
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College of Agriculture and Life Sciences Cornell University, Ithaca, New York Postdoctoral Associate: Quantitative Tropical Ecology and Conservation The College of Agriculture and Life Sciences (CALS) is a
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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: • Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field. • Strong programming skills and familiarity with Omics data analysis and integration. • Track record
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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Postdoctoral Associate, Psychology The Cross-College Department of Psychology spans the College of Arts and Sciences and Cornell Human Ecology and is recognized for excellence in advancing knowledge
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Postdoctoral Associate on Land Systems Sustainability The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We
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Jobs Online: https://academicjobsonline.org/ajo?joblist---5523-31331-p Required application materials: (to be submitted electronically) (1) a letter of application, including discussion of how you
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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