913 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Pennsylvania State University
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of the University Police and Public Safety Department. Students may receive academic credit or be paid for successful completion of the internship from their institution of higher learning. Student interns could
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REQUIREMENTS Join the SMILE research team to support the design, testing, and dissemination of SMILE learning exercises and to assist with qualitative/quantitative data collection for evaluating student and
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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ideas and pressing concerns. More information about the museum and the permanent collection can be found at https://palmermuseum.psu.edu/ . We are seeking dynamic, outgoing individuals interested in art
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still apply. I’m interested! How do I apply? Submit the following to https://hr.psu.edu/careers: 1) A complete application 2) Resume containing past work history or related positions/experiences 3) A
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, teaching if needed, and cultivating a positive, flexible atmosphere centered around learning and growth. During the camp season the majority of the program day is spent outdoors in the field with staff and
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, hospitality, business management, garden or museum studies, or other similar fields. The preferred applicant will demonstrate professional customer service skills and the desire to learn. Strong organizational
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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electronically via Penn State’s Careers Website: https://hr.psu.edu/careers BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI