926 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at Rutgers University
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school see: http://comminfo.rutgers.edu The Department of Library and Information Science is characterized by a research and learning culture that is inclusive, diverse and cohesive, international in scope
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experiential learning courses, as well as contributing lectures to core plant pathology courses that support required and elective curricula in the Undergraduate Program in Plant Science and Graduate Program in
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Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
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effective teaching experience who can teach online (Canvas), on campus, and/or at off campus locations and who can teach introductory and advanced courses in women’s studies, gender, masculinities
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Psychology or a related field by the time of appointment, will be expected to develop and maintain an active, extramurally funded research program, and teach and mentor at the undergraduate and graduate level
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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delivery, and promotion of community health. The school is dedicated to meeting the educational needs of current and future students through innovative teaching and learning strategies in the undergraduate
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safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities
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in any area of mathematics may be considered. Candidates must have a PhD in mathematics by employment start date. Candidates will teach undergraduate and graduate courses in mathematics, perform
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits