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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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, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS
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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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; 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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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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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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students by maintaining a list of BAM students or undergraduates interested in MS/PhD programs and identifying excellent candidates; Provides BAM student advising and transition support, offering course
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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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: The Department of Information Sciences and Technology (IST) includes 45 full-time faculty with research spanning artificial intelligence, cybersecurity, data mining, machine learning, natural language processing
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and Technology (IST) includes 45 full-time faculty with research spanning artificial intelligence, cybersecurity, data mining, machine learning, natural language processing, human-centered computing