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REQUIREMENTS The Nittany AI Alliance at The Pennsylvania State University (PSU) is looking for talented and driven PSU undergraduate students to join its Advance program as a Data Scientist, Front-end Developer
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the county. Work with Master Gardener volunteer committees to: initiate, staff, manage, evaluate, and prepare program impact reports; recruit, select, and train new volunteers; assure volunteers’ compliance
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Interact and collaborate regularly with program management, program sponsors and stakeholders Develop and maintain long-term professional relationships with relevant manufacturers and system integrators, as
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Program and the volunteers. With the assistance of the MG volunteers, provide community outreach to educate consumers about horticultural and environmental issues in the county. Work with Master Volunteer
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the MMSO Program Finance Manager Oversee the Office's external web presence, overview briefing, and a library of supporting capability briefings Plan and manage workspace and research facilities and
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update web pages. Conduct course quality assurance checks. Maintain office records and documentation. Support other related projects as needed. Required Skills and Knowledge Strong attention to detail
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experimental design and execution. Research concentrations of FDAO include pump design, multi-phase flow simulations, vehicle control dynamics and computation methods development. Additionally, the candidate
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the county. Work with Master Gardener volunteer committees to: initiate, staff, manage, evaluate, and prepare program impact reports; recruit, select, and train new volunteers; assure volunteers’ compliance
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horticultural and environmental issues in the county. Work with Master Gardener volunteer committees to: initiate, staff, manage, evaluate, and prepare program impact reports; recruit, select, and train new
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to: initiate, staff, manage, evaluate, and prepare program impact reports; recruit, select, and train new volunteers; assure volunteers’ compliance with Penn State policies; oversee volunteer projects; identify