2,593 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Rutgers University
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worker well-being. The candidate should be an excellent researcher and will be expected to teach both graduate and undergraduate courses in the field of Labor Studies and Employment Relations and
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considered. Candidates must have a PhD in mathematics by employment start date. Candidates will teach undergraduate and graduate courses in mathematics, perform research, and supervise graduate students
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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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virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting Number 25FA0682 Posting Open Date Posting Close Date
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and Coadjutants for the 2025 – 2026 semesters (Fall 25, Winter 26, Spring 26, Summer 26) to teach in various disciplines. The instructor will present course material during the assigned course times
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Knowledge of classroom management, adult learning, and effective communication/facilitation techniques. Computer literacy and familiarity with
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application, focusing on professional development and discipline-based education. These faculty members are typically experienced practitioners who teach practical skills, mentor students, and create
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to Applicants Applicants should specify courses they feel most qualified to teach. Quick Link to Posting https://jobs.rutgers.edu/postings/242404 Campus Rutgers University-New Brunswick Home Location Campus Cook
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lecturers for the Fall 2025, Winter 2026, Spring 2026, and/or Summer 2026 semesters to teach biology courses. Instructors will present course material during the assigned times, hold office hours, administer
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material for topics related to experiential learning and professional development; Ensures/follows the student’s internship includes learning objectives, observation, reflection, evaluation and assessment