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year. Areas of interest include: ? Artificial intelligence in medicine ? Biomedical data modeling and ontologies ? Biomedical data science ? Biomedical natural language processing
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sedentary behavior, such as actigraphy, mobile tracking technology, passive monitoring, and artificial intelligence applications Elucidating mechanisms (e.g., systemic inflammation, gut microbiota, etc
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including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent
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assessment in on-line MS in Artificial Intelligence, advise students in this program, and participation in departmental service. Research activities are encouraged but not required. Qualifications: Successful
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and teaching critically engage the contemporary issues and globally significant challenges of artificial intelligence (AI). The teaching load is two courses per semester. Bowdoin is particularly
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. Possess a strong understanding of University of Michigan procurement policies, including business travel and hosting expense guidelines. Experience with using artificial intelligence in day-to-day processes
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. The research area of interest for this position is Artificial Intelligence, broadly defined. This includes but is not limited to topics such as human-AI collaboration; computational social science; and AI
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critical needs in CEE that relate to resiliency and sustainability. A successful candidate will also be expected to leverage the College of Engineering faculty's existing strengths in artificial intelligence
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. The computer science faculty member develops and teaches undergraduate and graduate courses that include core computer science, networking, secure applications, web development, artificial intelligence (AI), data
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence