662 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at Pennsylvania State University
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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
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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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, 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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full-time, professional track (non-tenure line), teaching faculty or Professor of Practice position in structural engineering. The successful candidate will teach undergraduate and graduate courses
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or Full Professor position in Computational Mathematics. The search is open to any area in Numerical Analysis, Foundations of Machine Learning, Data Driven Methods, Quantum Computing, or other areas within
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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