299 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at George Mason University in United States
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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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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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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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level of professional customer service and interpersonal skills; Proficient computer skills with working knowledge of standard office software such as Microsoft Office Suite; Strong verbal and written
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of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time faculty. There are five graduate areas in the department
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under the supervision of the University Building Official. Required Qualifications: An ABET accredited Bachelor of Engineering Degree; Must be able to use computer-based applications, including, but not
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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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requirements for operating state vehicles and equipment under Mason’s Vehicle Use Policy 1411 https://universitypolicy.gmu.edu/policies/vehicle-use/. The Office of Risk Management reserves the right to review
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sensitive and/or confidential student information; Proficient with technology and able to learn new systems; Ability to work effectively as part of a fast-paced, collaborative team environment; Ability
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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