36 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs at George Mason University
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apply for Adjunct Faculty, Department of Electrical and Computer Engineering at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with contact
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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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: 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 Workplace Type
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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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-making systems. Develop Advanced ML/AI Models for Air Quality Applications Applies machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional chemical transport modeling
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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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BFA in Computer Game Design, 2. Provide mentorship and guidance in game production to students pursuing majors and minors in Computer Game Design, and 3. Support a cohesive faculty and staff to carry
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measures, etc. using Artificial Intelligent (AL) and Machine Learning (ML) techniques. Required Qualifications: Bachelor’s degree in related field, or the equivalent combination of education and experience
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postdoctoral experience; Demonstrated research record that combines Artificial Intelligence and/or Machine Learning with one or more of the following areas: Scientific Computing, Modeling & Simulation
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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