52 computer-algorithm "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Cornell University
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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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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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N Efficiency Genomic Informatics Post-Doctoral Associate Postdoctoral Associate, Buckler/Romay Lab Cornell Institute of Biotechnology Cornell Research and Innovation The Buckler/Romay Lab
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York 14853, United States of America [map ] Subject Areas: Genomics / Plant Computational Biology Bioinformatics Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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Cornell University, Information Science Position ID: Cornell-IS-POSTDOC [#31443] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623, United States of America
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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Ithaca, NY, invites applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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and simulation modeling • AI/ML, foundation models, causal inference, and predictive analytics • Human factors, behavior science, and patient-centered design • Advanced computing and scalable algorithms