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, artificial intelligence, and data-driven discovery. Learn more about the iMIND Study Team: https://dukeeyecenter.duke.edu/imind Be Bold. Join a multidisciplinary research team at the forefront of
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laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Water Power Technology Validation
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department combines the traditional fields of biomechanics; motor development, motor control, and learning; and cognitive and neuromuscular function. This program examines multidisciplinary aspects of how
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, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description NLR’s
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robust film and television industry, SCA encourages professional development, mentorship and community engagement through a variety of programs, including internships, master classes, and industry
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Valencia and Socorro Counties. The faculty and staff serve a student body of over 2,000 students per semester. UNM offers a robust benefits package including medical, dental and vision insurance, retirement
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-association properties. o Mechanical properties for bulk materials. • Propose post-modifications to control the physicochemical and mechanical properties of modified substrates. • Collaborate and propose
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 23 hours ago
the Health Resources and Services Administration, the Duke Endowment, the Moore Foundation, the Centers for Disease Control and Prevention, and the National Institute on Aging. We offer robust research
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growing ties to aerospace, defense, semiconductor, energy, and other industry sectors that are well represented in the region, one of the most economically robust in the nation (learn more at https
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encompassing perception, planning, and control. The PhD student will contribute to one or more of the following topics: theoretical foundations and geometric formalization, representation learning, robust