515 computer-"https:"-"https:"-"https:"-"https:"-"C.N.R" positions at Pennsylvania State University
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a week depending on scheduling. Responsibilities -Assisting library users with the map and geospatial data collections using library systems, computer mapping tools, and online resources -Working
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REQUIREMENTS The Eberly College of Science, Forensic Science program seeks to hire part-time FRNSC 415 Course Assistants for the 2026/2027 academic school year. The successful candidates will be expected
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REQUIREMENTS The Forensic Science Program seeks to hire part-time course assistants for FRNSC 413 (Forensic Biology) for the 2026/2027 academic year. Course assistants assist the instructor with laboratory
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REQUIREMENTS The Forensic Science program seeks to hire part-time FRNSC 411 Course Assistants for the 2026/2027 academic year. The successful candidates will be expected to perform the following duties: Interact
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REQUIREMENTS The Forensic Science Program seeks to hire part-time FRNSC 210 Course Assistants for the 2026/2027 academic year. The successful candidates will be expected to perform the following duties: Interact
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REQUIREMENTS The Forensic Science program seeks to hire part-time Course Assistants for the 2026/2027 academic year for FRNSC 100 – Introduction to Forensic Science. Successful candidates will be expected
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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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currently enrolled in a GIS degree or certificate program is preferred. Minimally requires a Master's degree. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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school youth from diverse backgrounds. Capacity to model maturity, sound judgment, common sense, and professionalism. Ability to enforce program and university policies consistently and objectively. Must
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(ARL) at Penn State. Interns will have the opportunity to work developing cutting-edge AI/ML techniques to solve problems in computer vision and geospatial understanding. Students selected will serve as