713 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions at Pennsylvania State University
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Participate in the development of financial dashboards and reporting tools for internal stakeholders and senior leadership Provide financial analyses for new initiatives, program reviews, and business plans
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visit www.psuberksathletics.com for more information about the athletics and recreation program. The Assistant Baseball Coach will be responsible for assisting the Head Baseball Coach with all aspects
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technologies, and provide innovative approaches to student-athlete health and performance. Assist in managing and supervising the department’s internship program. Be an active driver in growing the scope and
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students to resolve outstanding balance issues Serve as a liaison for Berks Federal Work-Study Program and any other wage program when applicable Provide education and financial literacy information
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preparation and cooking of meals communicate and lead effectively with co-leaders manage the risks of the activity according to program guidelines (if necessary) administer first aid treatment and implement
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/experience areas include: Prototyping computing languages for such as MATLAB or Python Implementing advanced phased array signal processing techniques with an emphasis on sensor trajectory estimation
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commercialization efforts, with a primary focus on the Nittany Angels program and Penn State–affiliated startup companies. Reporting directly to the Associate Vice President for OEC, this role is approximately 10–15
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time Assistant Coach of the Women's Volleyball Team. This part-time position is responsible for assisting the head coach with all aspects of the Women's Volleyball program, including evaluating and
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molecular biology, computer science, and phylogenetics. Preference given to students who have completed coursework involving genetics or genomics or with similar prior experience. Pay starts at $16/hour, with
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. Additional opportunities will include working with students and postdocs in the lab to support the development of computer vision models for pest identification and to support the BeeSpatial web application