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biomedical science, quantum computing, and artificial intelligence and machine learning. The Luddy School of Informatics, Computing, and Engineering is the first of its kind and among the largest in
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to teach in at least one of the thematic areas listed above. Additional desired qualifications include a PhD degree, the ability to teach across multiple areas of the curriculum, strong engagement with
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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited
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information exchange (HIE) Natural language processing in clinical/biomedical domains Mobile health, digital health, human–computer interaction in health Learning health systems, community health informatics
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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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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited
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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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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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programs at the BS, MS, and PhD levels. Candidates must be tenured and demonstrate a strong scholarly record of effective, well-reviewed teaching, a scholarly record of externally-funded research, exhibited