904 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at Pennsylvania State University
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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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funds to ensure compliance with requirements Track and report on grants, contracts, and program expenditures Prepare monthly financial statements, budget vs. actual reports, and cash flow forecasts
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to prospective employers by phone and email weekly. Program Development & Implementation: Design and execute career-related workshops, events, and programs including job fairs, networking events, employer
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will need to develop and/or participate in interdisciplinary collaborations across multiple Extension Program Teams and outside institutions. All team members are expected to participate in
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documents meet the required format and content standards, as well as evaluating content for clarity, accuracy, and consistency. The role will also include assisting with the development of the department
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scale responsibly as the program evolves. Define clear structures for accountability, decision-making, and collaboration across divisions. Cross-Departmental Collaboration and Partnership Development
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laboratory or colony-management problems. Prepare, coordinate, and distribute regulated arthropod shipments to internal and external collaborators in compliance with federal permits, institutional policies
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testing including specimen submission, result compilation, and billing reconciliation Coordinate laboratory diagnostics phase of sentinel animal program Assist with developing, monitoring, and reconciling
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are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory
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and Decision Support Division of Penn State ARL. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and deploy both traditional