269 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Pennsylvania State University
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State seeks an Experiential Learning Coordinator to develop, implement, and manage experiential learning opportunities for students within the Schreyer Honors College. The person in this position will
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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
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The Department of Computer Science and Engineering is seeking applicants for part-time learning assistant positions for the spring 2026 semester. Job duties to include: Grading support Classroom support Possible
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of Health and Human Development is seeking an Experiential Learning Program Specialist/Academic Advisor. This position oversees the management and implementation of competency tracking systems
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State Scranton is seeking a dedicated and student-focused professional to serve as the Associate Director of Disability and Learning Services. This position plays a vital role in supervising campus staff
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REQUIREMENTS Penn State Scranton is accepting applications for a part-time Learning and Advising Center Assistant. The selected candidate supports the daily operations of the Learning and Advising Centers by
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are seeking a Department Head for the Human-Machine Teaming Department of the Applied Research Laboratory (ARL) at Penn State. You will direct a team of R&D Engineers in designing and integrating user
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Teaching and Learning with Technology (TLT) Specialists guide the exploration, development, evaluation, and/or implementation of new or experimental technology initiatives that support teaching, learning
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are searching for an entry level Electrical or Computer Engineer to join the Multi-modal Systems Department within the Multi-Modal Sensing Systems Division (MSS) of the All-Domain Analytics and Signatures office
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in pavement engineering, with an emphasis on advanced sensing technologies and machine learning modeling. The successful candidate will contribute immediately to cutting-edge research projects