692 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Pennsylvania State University
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REQUIREMENTS Penn State Scranton is currently accepting applications for part-time research assistants at the Sustainable Communities Lab. Read more about Sustainable Communities Lab here: https://nonnasorokina
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REQUIREMENTS Part-time (spring and fall semesters and potential for summer employment) research assistant positions are available in the Bull Lab (https://plantpath.psu.edu/research/labs/bull ) in the Department
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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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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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The Learning Design team within the College of the Liberal Arts is seeking an Instructional Designer to oversee all aspects of designing, developing, and managing online course portfolios. This position is not
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. For more information on the PN Program, please visit https://dubois.psu.edu/pn-program-practical-nursing . BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in
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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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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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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
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federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease