491 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Pennsylvania State University
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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 Adjunct Instructor Positions – Lifelong Learning and Adult Education Program in the Department of Learning and Performance Systems, Penn State University. The Lifelong Learning and Adult Education
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systems, devices (including fabrication) and sensors, robotics and automation, artificial intelligence and machine learning, advanced electronics, and communications. Our faculty are particularly encouraged
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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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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 We are seeking several undergraduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory
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REQUIREMENTS We are seeking undergraduate students with interest in artificial intelligence/machine learning (AI/ML) to join the Visualization and Decision Support Division of the Applied Research Laboratory
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Fall 26) to join our team for an AI security project in which students work directly with production-scale models and industry datasets. The project focuses on adversarial machine learning, large
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Support for testing, data analysis, and data display Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and