666 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Pennsylvania State University
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contribute to our efforts to create a welcoming and inclusive learning environment for students, foster robust, collaborative scholarship, and engage in service activities supporting institutional goals. To be
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interdisciplinary research; teach undergraduate and/or graduate courses, including residential, online, and/or hybrid courses; supervise and mentor students; actively pursue external funding to support research
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REQUIREMENTS The Eberly College of Science, Department of Biology, is looking to hire Learning Assistants (LAs) to provide support to Biology courses overseen by Teaching Faculty during the 2025-2026 academic
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to the University and the profession. More information about faculty appointments in the Libraries can be found in the Guideline UL-ACG07 Promotion and Tenure Criteria (https://libraries.psu.edu/policies/ul-acg07
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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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expected to teach undergraduate courses and guide senior design projects in the area(s) of engineering and design, system dynamics, measurements and instrumentation, and fundamental computer programming
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REQUIREMENTS Penn State World Campus is currently accepting applications for a part-time Military Benefits Outreach & Veterans Programs/Financial Aid Coordinator - this is a remote position. The successful
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REQUIREMENTS The School of Visual Arts in the College of Arts and Architecture invites applications for one or more Part-Time Lecturer positions to teach courses in the Bachelor of Design in Digital Multimedia
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REQUIREMENTS Penn State Hazleton and Scranton are accepting applications for part-time Machine Shop Safety Instructors. Instructors will teach a Machine Shop Safety Training Program with an overview of OSHA
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candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence. Applicants at all