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innovation (eg, multi-omics, machine learning, remote assessment), and enthusiasm for team science and collaboration. Faculty will work collaboratively with CHA, IFH and Rutgers leadership to develop signature
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clinically relevant basic science content in pre-clerkship courses, with a particular focus in neuroscience or gross anatomy and histology. Responsibilities will include coordinating small-group learning
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will teach and develop courses at the intersection of science, technology, and business—such as intellectual property management, and related areas. The role also emphasizes external engagement, and
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the possibility of renewal based on performance and continued funding. The position carries a 3–1–3 teaching load (spring, summer, fall). The successful candidate will teach core and elective courses in accounting
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) at the Rutgers University School of Social Work. This position reports to the Manager of Learning and Development. Among the key duties of the position are the following: Provides subject matter expertise and
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eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers School of Nursing is seeking an experienced academic instructor to teach healthcare data mining and
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the Division of Student Academic Success, comprised of the Vice Chancellor for Student Academic Success, Office of Retention, Center for Learning and Student Success, Educational Opportunity Fund (EOF), TRIO
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savings 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
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leader in the delivery of effective, compassionate and accessible care informed by research within correctional environments. We Care. We Teach. We Heal. We Improve. Rutgers, The State University of New
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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