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analytics. We are looking for an experienced data science individual contributor for a unique multi-sport data program aimed at improving competitive outcomes for a division I NCAA athletics department. You
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university guidelines. The Department of Orthopedic Surgery is committed to equity, diversity, and inclusion. All qualified applicants are encouraged to apply and will be considered without regard to race
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the evaluation of applicants. Participates in recruitment activities and projects, both in and out of state. Essential Functions Serve as the liaison between the School of Nursing and the Office of Undergraduate
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of Nursing is seeking a qualified applicant for a full-time, appointment stream faculty position in the Department of Health Promotion and Development at the rank of Assistant Professor. Faculty members
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at the University of Pittsburgh is currently seeking qualified applicants for a spring term part-time lecturer. This position is outside of the tenure stream from January 1 through April 30, 2026. The successful
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full consideration, applications must be received by November 15, 2025. Applicants are required to submit a curriculum vitae and one research paper and arrange for the submission of three letters
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, databases, and applications on servers and workstations necessary to support the school's daily operations. They will also be tasked with troubleshooting issues related to both software and hardware, in
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development of a program, plans, and activities to create and execute a comprehensive development plan achieving new and recurring contributions to a school, foundation, program, and/or group. Manages a
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Affairs. Recently ranked 2nd (tie) by US News & World Report for our Nurse Anesthesia DNP program, 4th (tie) for our Bachelor of Science in Nursing program, and 5th for our Psychiatric Mental Health Nurse
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the development of conceptual project design and instrumentation, software programs, and data collection methods. Assists with conducting research. Conducts laboratory procedures, develops software for analysis