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, interpret, document, and troubleshoot independent research and to collaborate effectively with other computational and experimental members of a diverse research team. The successful candidate will excel
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learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
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satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
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closely with the ARL Leadership, Culture and Student Program office in the development of all student programs Manage ARL’s Federal Work Study program; complete pilot, finalize program, train, and research
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REQUIREMENTS The Mathematics Department in the Eberly College of Science has a vacancy available for a Part-Time Research Assistant/Associate. The selected candidate will work on computational modeling and
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, communicating updates to staff. Assist with ensuring compliance through annual training and communicating to staff program requirements. Manage donor relations on behalf of the Director and provide administrative
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Facilitation - Plan and lead skill-building workshops, ideation sessions, and team-building activities that promote student success and align with Nittany AI program goals. Program Development - Collaborate with
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questions. Answer basic questions at the service desk. Provide basic assistance with technology and computing. Reserve group study rooms for students and employees. Assist with other projects, duties, and
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. This position is a full-time, 36-week contract starting July 1, 2025, or as negotiated. Responsibilities: Teach assigned courses in the associate degree program for Occupational Therapy Assistant (OTA) using
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the Animal Resource Program (ARP) at The Pennsylvania State University. This position is based on the University Park Campus located in State College, PA. The ARP is an interdisciplinary research and teaching