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program for the area Assists with the development and implementation of campus-wide initiatives Advises student groups in the area Makes referrals to University agencies when appropriate Encourages student
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to the year-long Student Farm Internship Cohort Program, which will start the following spring. Responsibilities Fall Farm Crew members will assist with many operations on the farm. Essential roles include
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also work closely with the MyResource team (Director, AI Integration Developer, Program Coordinator, and Project Manager) to optimize existing models and develop innovative solutions. The BSA must be a
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of the following disciplines is required: cybersecurity, information technology, computer information systems, computer science, or a closely related field. Preference will be given to applicants with specific
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the...
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process can be found at: https://libraries.psu.edu/about/jobs . Successful candidates will benefit from a strong mentoring program developed by the University Libraries to support new faculty in tenure
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expertise in the design and operation of Linux-based infrastructure which powers high-performance compute environments and labs. You will support the operation and needs of our digital infrastructure via
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REQUIREMENTS: The IT Services of the Applied Research Laboratory is seeking undergraduate students to work across a variety of information technology disciplines including, but not limited to: computing support
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check-ins and other sessions related to grounding and centering halfway through the program season. It is ideal if someone can commit to the entire June 2 - August 2, 2025, time frame. While the timeframe
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for non-statistics students. Examples of courses the faculty member may be expected to teach include a capstone course for statistics majors and a course on introductory data science and computing