337 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at George Mason University
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Department: Auxiliary and Business Services Classification: Computer Ops Tech 1 Job Category: Classified Staff Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA
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; cybersecurity; digital forensics; machine learning and artificial intelligence; semiconductors and microelectronics; power and energy systems; signal processing; and space-based and satellite systems. About the
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learning, hands-on undergraduate research, and graduate internships. George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment
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the responsible management of data. Instructions to Applicants: For full consideration, applicants must apply for Graduate Programs Assistant at https://jobs.gmu.edu/. Complete and submit the online application
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disorders, and other topics; Develops training aids, including training handbooks, multimedia visual aids, computer tutorials, and reference works; Coordinates administrative tasks necessary to deliver and
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Operations spaces, rotating to learn each units’ roles and responsibilities serving as an agile team member. This is an ongoing position, and we are seeking an individual who will become a long-term team
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at https://socialwork.gmu.edu . About the Position: Under the supervision and direction of the Director of Practicum Education, the Assistant Director of Practicum Education provides a variety of educational
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setting; Experience teaching multi-section courses and large courses; Demonstrated teaching record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas
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for career success in business and government. Its research-based faculty and focus on multi-disciplinary academic programs, inclusive entrepreneurship, modular education, experiential learning, and corporate
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining