83 machine-learning "https:" "https:" "https:" "https:" positions at Oregon State University in United States
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applicants. Candidates from all subfields of condensed matter theory, including those that utilize machine learning and AI in their research, are encouraged to apply, but preference will be given to applicants
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+ alumni worldwide • For more interesting facts about OSU visit: https://oregonstate.edu/about Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center
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+ alumni worldwide • For more interesting facts about OSU visit: https://oregonstate.edu/about Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center
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to enhancing student success by engaging students in quality academic, research, internships, global studies, and other experiential learning opportunities. There is an expectation that, as part of your role in
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the university level, especially in the areas of Business Programing, AI in Business, Business Analytics, Machine learning/Deep Learning, LLMs, Social impact of AI. Experience in teaching Master’s level courses
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, faculty, and students. Monitoring computer labs. MacOS, Windows and Linux. Learning IT management tools such as Active Directory, Citrix, Entra, Intune, MCM, VMWare, PVS Tracking and coordinating work using
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seek candidates who can teach graduate and/or undergraduate Research Methods, Quantitative Methods, or Human-Computer Interaction. Opportunities also exist to teach graduate Social Psychology and/or new
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days off and vacations. UHDS recognizes the importance of learning both in and out of the classroom and supports the concept of education as an individual as well as a community experience. UHDS strives
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of the Dining Unit in the absence of the Manager, particularly early morning, evening, and weekend shifts, as well as covering Manager days off and vacations UHDS recognizes the importance of learning both in and
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Science (EECS), within the College of Engineering, invites applications for 9-month, part-time (varied FTE), fixed-term, non-tenure-track, E-campus instructors to teach on a term-by-term basis for the 2025/2026