662 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Pennsylvania State University in United States
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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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care and conservation. Teach relevant sections of museum studies classes as needed. Qualifications: Applicants must have experience with the following: Working in a museum or gallery setting Fine 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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The Department of Anthropology (https://anth.la.psu.edu/ ) and the Social Science Research Institute (SSRI: https://ssri.psu.edu/ ) at The Pennsylvania State University, University Park invites applications for 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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of Health and Human Development is seeking a Research Technologist. The successful candidate will learn and perform a diversity of fundamental neuroscience approaches including but not limited to: Behavioral
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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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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