467 machine-learning-"https:" "https:" "https:" Postdoctoral research jobs in United States
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, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs, an upcoming Large Program on
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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on Just and 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
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 17 hours ago
) asks all programs. Apply now to join the ARPA-E team and shape the future of energy. ARPA-E recruits Summer Scholars who have a unique combination of technical and business skills to learn how
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written), time management, project management, and presentation skills Proficient with computer applications and programs associated with the position (i.e. Microsoft Office suite) Strong attention
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on power system dynamics and control under high inverter-based resources (IBRs). * Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview