658 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Pennsylvania State University
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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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their peers, and networking. Learn more about the program at https://readinessinstitute.psu.edu/programs/summer-discovery/ . About this role: We are currently looking for junior instructors for the 5-week
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SPECIFICS The Department of Anthropology at The Pennsylvania State University (https://anth.la.psu.edu/ ) invites applications for a full-time, Assistant/Associate Teaching Professor position to start Spring
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of scholars and students at the forefront of computer vision research and material studies with longstanding research strengths in architectural history. The Center for Virtual and Material Studies (https
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to self-motivate and work both independently and as part of a team Commitment to professional development, learning, and being mentored DDAR is supportive of flexible work arrangements when aligned with
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this experience you will learn how to work well with children outdoors, design activities and games, set goals, and grow through leadership experiences. Gimme the details, please! At Shaver’s Creek facility, you
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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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knowledge of Microsoft Office Suite (Word, Excel, PowerPoint) and the ability to learn new systems quickly. Exemplary interpersonal and communication skills, complemented by strong customer service abilities
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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