128 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs at Cornell University in United States
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
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Postdoctoral Associate to begin July 1, 2026. The one-year term position is renewable for an additional year based on performance and is part of Cornell’s Active Learning Initiative . This initiative supports
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University Transportation Research Center dedicated to advancing sustainable technology-enabled mobility for public and
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, United States of America [map ] Subject Area: Computer Science / Artificial intelligence and machine learning Appl Deadline: 2025/11/21 04:59 AM UnitedKingdomTime (posted 2025/10/23 05:00 AM UnitedKingdomTime) Position
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Postdoctoral Fellowship. The focus of this postdoctoral fellowship will be the study of sports and U.S. cultures. The position starts August 16, 2026 and concludes August 15, 2027. Postdoctoral responsibilities
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. For consideration, please click the link below to apply and submit all required application materials (see list below): https://academicjobsonline.org/ajo/jobs/31185 Review of applicants will begin as soon as
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/31628 ">( https://academicjobsonline.org/ajo/jobs/31628 https
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workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in