698 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at Pennsylvania State University
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with the possibility of reappointment. All applications will be considered until vacancies are filled. For a more detailed description of the College, please visit our website at http://nursing.psu.edu
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@psu.edu Visit our website at https://arc.la.psu.edu/ for more information on the Africana Research Center. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion
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of the Student Success Center and the Simulation Laboratory to ensure they effectively support student learning, academic achievement, and clinical skill development. Monitor student academic progress and address
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of the Student Success Center and the Simulation Laboratory to ensure they effectively support student learning, academic achievement, and clinical skill development. Monitor student academic progress and address
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launch the next generation of transformational companies. To learn more about Ben Franklin/CNP and our portfolio companies, visit us at https://cnp.benfranklin.org/ MINIMUM EDUCATION, WORK EXPERIENCE
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, Foundations of Machine Learning, Data Driven Methods, Quantum Computing, or other areas within Computational Mathematics. The successful candidate will be expected to develop an independent research program
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individuals with a positive attitude and a willingness to learn and work as an individual or as part of a team. Interested persons should have the ability to follow direction accurately, work quickly and
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probationary period), are expected to teach 21 credits per academic year (or its equivalent), and are eligible for promotion (ranks of Instructor, Assistant Teaching Professor, Associate Teaching Professor, and
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faculty in the Smeal College of Business are hired on a multi-year contract, are expected to teach 18 credits per academic year (or its equivalent) and contribute to the teaching mission of the school by
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REQUIREMENTS The Eberly College of Science, Department of Biology, is looking to hire Learning Assistants (LA) to provide support to Biology courses overseen by faculty during the 2025-2026 academic year. This