274 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at George Mason University
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Department: Academic Affairs, Learning Resource Center (LRC) Classification: GMU Worker Job Category: Part-Time / Hourly Wage Job Type: Part-Time Work Schedule: 10-20 hours/week Location: Fairfax
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; cyber-physical systems; cybersecurity; digital forensics; machine learning and artificial intelligence; semiconductors and microelectronics; power and energy systems; signal processing; and space-based
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for the Learning Specialist at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact information, and provide a cover letter and resume for review
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tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining, artificial intelligence, robotics
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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
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, applicants must apply for Director of Organizational Development and Learning at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact
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Intelligence and/or Machine Learning with one or more of the following areas: Scientific Computing, Modeling, Simulation, Scientific Visualization, or Computational Social Science; Experience developing and
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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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Background Check: Yes About the Department: The Department of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time
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lowest of any law school in the United States. This provides students with direct and personalized interaction with professors – an invaluable advantage when learning complex legal doctrines. Although