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Student Employment Manager in UConn Storrs
UConn Recreation is seeking a motivated and detail-oriented professional to serve as our Student Employment Manager. In this impactful role, the manager will help support the student employee experience by coordinating key human resources functions, including recruitment, onboarding, and payroll administration.
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Cash Operations Specialist in UConn Storrs
The Cash Operations Specialist serves as the primary financial administrator in the Office of the Bursar for University deposits, responsible for daily reconciliation of incoming funds between the University’s bank accounts and the State and University general ledger systems. This position monitors departments’ compliance with State statutes for depositing and provides training assistance to University staff for depositing and cash handling.
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Assistant, Associate, or Full Professor - Addictions and Behavioral Health Focus in School of Social Work
The University of Connecticut School of Social Work is pleased to invite applications for a full-time (9-month appointment), open-rank, tenure-line position. We seek a highly motivated, productive, and collaborative scholar committed to advancing research and education in addictions and behavioral health. We welcome applicants with expertise in intervention research, particularly those developing, evaluating, and implementing technology-based interventions.
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Dining Services Assistant Manager in UConn Storrs
The Department of Dining Services at the University of Connecticut has an opening for an Assistant Area Manager. This position reports to the Manager 2 or an appropriate designee and assists in providing effective supervision and leadership within the Department of Dining Services.
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Postdoctoral Research Associate in UConn Storrs
The Department of Statistics at the College of Liberal Arts and Sciences, University of Connecticut (UConn), invites applications for a full-time Postdoctoral Research Associate position. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly focus on real-world applications in psychology, psychiatry, mental health, aging, and related fields.
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