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fields. A PhD degree in Artificial Intelligence, Informatics, Computer Science or related fields is preferred to teach at the graduate level. The ideal candidate will possess a minimum of twoyears of
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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and photonics Neuromorphic computing, artificial intelligence and machine learning Quantum and 2D materials technologies & systems Micro and nanoelectromechanical systems (MEMS/NEMS) Electromagnetics
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, synaptic growth, brain network organization and connectivity, cognitive function) Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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of artificial intelligence and behavioral neuroscience. This individual will join our interdisciplinary team of computer scientists and behavioral neuroscientists seeking to identify the mechanistic and
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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of incomplete grades, double PhD major forms, etc. Advises students on best use of fee remissions. Determine eligibility for G901 and off campus A800 (research credit hours). Designs and maintains a database to
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networks; brand safety and suitability; campaign content, distribution, and effects; consumer behavior) and methodologies (e.g., explanatory social scientific; predictive machine learning; econometric
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. Ability to teach both face-to-face and online classes. Preferred Basic Qualifications PhD or ABD in Computer Science, or a closely related field. Demonstrated potential of teaching excellence in the areas