667 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Pennsylvania State University
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REQUIREMENTS The Penn State Center of Excellence in Directed Energy (CEDE: mri.psu.edu/cede ) in conjunction with the Computational Electromagnetics and Antennas Research Lab (CEARL: (https://sites.google.com
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currently available, please contact Dr. Jason Litzenberg (jjl53@psu.edu ). Be sure to visit the IECP website at: https://iecp.la.psu.edu/ . All classes are held in-person at Penn State’s University Park
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%) The successful candidate will teach a 3-credit undergraduate course in FDSC that is aligned with their expertise: examples include but are not limited to FDSC 200 (“Introductory Food Science”) or FDSC 403
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apply online at https://hr.psu.edu/careers and include a curriculum vitae, a cover letter with a summary of relevant skills and experience and contact information for three professional references (name
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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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College has an excellent educational system and offers many cultural events. To apply, please visit https://hr.psu.edu/careers and submit a letter of application documenting qualifications for the position
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and development, prototype development, and experimental evaluation of new navigation technologies for military platforms. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning
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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