574 computer "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Pennsylvania State University
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for a Part-Time Head Women’s Volleyball Coach. This position provides leadership and oversight for the women’s volleyball program at Penn State Scranton. The Head Coach is responsible for all aspects
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Women’s Basketball Coach. The Head Coach is responsible for all aspects of the Women’s Basketball program, including practice preparation, competition coaching, student-athlete development, and recruitment
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REQUIREMENTS We are seeking Electrical Engineering, Computer Science, and Computer Engineering students for an internship in the Strategic Systems Operations Division of the Applied Research Laboratory (ARL
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an employee of Penn State Cooperative Extension , The Pennsylvania State University . Specific Job Functions and Responsibilities: Program Development and Implementation Provide leadership for planning
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competition, and develop solutions to problems in computer vision and geospatial understanding. Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of
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the Office of Fraternity & Sorority Life by answering phone calls, greeting visitors, scheduling room reservations, coordinating events and catering, and monitoring Standards of Excellence program form
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of the University’s Water Polo program. The position supports and advances the mission and core values of the Athletic Department and the University while fostering a positive and competitive student-athlete experience
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contributes to program evaluation and research activities that advance the Division of Geriatric Medicine’s education and workforce development initiatives. Key Responsibilities Deliver training and educational
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, reporting to the Executive Director of Ethical Research and Outreach. This position is responsible for the strategic design, implementation, and oversight of a comprehensive education and outreach program
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health research programs. The successful candidate will develop, implement, and evaluate advanced computational and statistical approaches to analyze high-dimensional biological data, including multi-omics