477 machine-learning-"https:" "https:" "https:" "RAEGE Az" positions at Pennsylvania State University
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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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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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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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in Nursing Degree Program is the Ross and Carol Nese College of Nursing. To learn more about the Bachelor of Science in Nursing Degree and the Ross and Carol Nese College of Nursing, please visit https
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generally take place between 6:00 a.m. and 3:00 p.m. on weekdays with a few exceptions for professional development opportunities and field trips. Experience: Interns will learn horticultural and grounds
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REQUIREMENTS Penn State Learning, which supports undergraduate learning through peer tutoring and peer-guided study groups, is currently interviewing qualified undergraduate students to work as writing tutors
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, and strong, sustainable economies. Learn more about the CEI program, visit https://seagrant.noaa.gov/Community-Engaged-Internship Eligibility This opportunity is limited to undergraduate students
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healthy environment, resilient communities, and strong, sustainable economies. Learn more about the CEI program, visit https://seagrant.noaa.gov/Community-Engaged-Internship Eligibility This opportunity is
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the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order