197 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" research jobs
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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within five years of the application date. U.S. military veterans who have been honorably discharged (or who have been medically discharged because of a service-connected disability) and who received a
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with other scientists and the public in an accessible manner The salary for this position will be $6200-$7000 per month, commensurate with experience and qualifications, or as mandated by a U.S
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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learning, growth and productivity while affording a basic need to its students – a chance to advance. The 15:1 student to teacher ratio makes it possible to maintain a learning environment with close
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. Student employees cannot work more than 1300 hours in a 12-consecutive month period. Responsibilities Integrates stereo cameras with an industrial robot and computer-hosted FoundationStereo deep learning
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computer simulations, as well as prior work with food and other biomaterials. The application deadline is December 15, 2025. Interested applicants are encouraged to contact Juming Tang (jutang88@uw.edu
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. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free of discrimination
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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