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simulation, data reconstruction and analysis, machine learning and AI applications, detector construction and operation, and R&D with test stands and test-beam experiments. Successful candidates will have the
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College Mission Statement: De Anza College provides an academically rich, multicultural learning environment that challenges students of every background to develop their intellect, character and abilities
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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University of California, San Francisco | San Francisco, California | United States | about 18 hours ago
agreement. The salary range for this position is $32.04 - $40.06 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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offer. If this sounds like you, you've come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision, the Graduate Program Coordinator, Accounting supports
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University - To learn more about the great work we are doing, please visit our website linked above. About College of Veterinary Medicine | Large Animal Hospital - To learn more about the great work we are
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including airplane, automobile, bus and train.Please note that successful applicants must be eligible to work in the United States on or before the effective date of appointment. Eligibility includes being a
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be guided by the rules in the collective bargaining agreement. The salary range for this position is $84.78 - $109.85 (Hourly Rate). To learn more about the benefits of working at UCSF, including total
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undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit
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consideration will be made to candidates with experience in automation or machine learning. The postdoc will join a group which is focused on pioneering applications of modern machine learning methods, FAIR data