2,248 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Rutgers University in United States
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Applied Music Instructors to teach lessons in voice and various instruments; including the preparation for student juries, assign grades and coordinate any other requirements related to course instruction
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Spring 2026 the Faculty of Arts and Sciences, Department of Economics, at Rutgers-Camden, seeks new part-time lecturers to teach various topics within the discipline. The instructor will present course
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veterans, and ensuring accessibility and accommodation for individuals with disabilities. University Human Resources (UHR) supports the Rutgers mission as an institution of prominence, preeminent in research
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, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional
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, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual
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: Piscataway State: NJ Physical Demands and Work Environment: Prolonged computer utilization and long periods in sedentary positioning. Special Conditions: Availability to work occasional evenings and/or
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contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary Instructors teach a
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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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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 Jersey, is a
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staff. We are committed to being a leader in the delivery of effective, compassionate and accessible care informed by research within correctional environments. We Care. We Teach. We Heal. We Improve