916 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" positions at Pennsylvania State University
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on their operations. Contribute to the development and maintenance of an RSO manual outlining all policies and procedures for student groups. Assist in the recruitment, hiring, training, and supervision of the Campus
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study on insect evolution. The primary job responsibility will be the description and analysis of insect chemoreceptor genes, with opportunities to assist with molecular techniques and field collection
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of the Head Coach and is a non-coaching role responsible for coordinating and managing the day-to-day operational aspects of the Baseball program. RESPONSIBILITIES Responsible for player development data
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Support the County 4-H team in providing high-quality, positive youth development program experiences for existing as well as new youth audiences. The 4-H Summer Assistant will be responsible to the 4-H
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of research information in accordance with established protocols. This individual will assist in the development, design, and execution of research projects, under general direction of senior research personnel
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Health. Align systems strategy, interoperability standards, cybersecurity protocols, and digital initiatives. Lead the development on data-sharing agreements, analytics platforms, and enterprise
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are searching for a Mechanical Engineering Support Specialist to join our Materials and Mechanicals Development Department in the Applied Research Laboratory (ARL) at Penn State. ARL/Penn State's purpose is to
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positive group development, managing risks, supervising meal preparation, and communicating effectively with co-leaders. Planning and preparation for trips including developing a trip itinerary, menu
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for all program operations including but not limited to: Recruitment and retention Player development (athletic, academic and personal) Practice and competition planning and implementation Team events under
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Responsibilities (May Include) Data pipeline development: Build and document data-cleaning protocols, QA checks, and reproducible workflows (ETL, versioning, data dictionaries). Data integration: Organize and