245 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"U.S" positions at Pennsylvania State University in United States
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are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory
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REQUIREMENTS The Nutritional Sciences Department is seeking undergraduate learning assistants to help with NUTR 358 for spring 2026. Undergraduate learning assistants (ULAs) will assist the instructor with
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REQUIREMENTS The College of Health and Human Development/Unit of Recreation, Park and Tourism Management is seeking applicants for part-time learning assistants. Learning Assistants (LAs) are motivated
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The Military and Third-Party Contracts Team within the Office of the Bursar is seeking a motivated individual to fill a full-time position as Accounting Manager – Manager. This individual will be responsible
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Visualization
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and implement machine learning systems, models, and schemes Research and apply state-of-the-art machine learning prototypes to sponsor specific domains Search and select appropriate data sets before
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REQUIREMENTS The Department of Supply Chain and Information Systems at Penn State University Park invites applications for two part-time learning assistants for Dr. Rashmi Sharma to start January 2026
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. JOB DESCRIPTION AND POSITION REQUIREMENTS Penn State is searching for a full time Computer Lab Support Technician - Grade 6 to join the team. Duties include: Respond to requests for assistance
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REQUIREMENTS The Nutritional Sciences department is seeking undergraduate learning assistants to help with NUTR 251. Undergraduate learning assistants (ULAs) will assist the instructor with grading, answering
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REQUIREMENTS Join the SMILE research team to support the design, testing, and dissemination of SMILE learning exercises and to assist with qualitative/quantitative data collection for evaluating student and