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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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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
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assistance tailored to diverse sponsor types. PDS specialists include professionals with PhDs and pre-award expertise, balancing scientific rigor with administrative efficiency. The Office for Research
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function) · Using advanced neuroimaging and/or machine learning techniques to understand the connection between physical activity, sedentary behavior, and brain health. · Examining the effects of prolonged
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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in