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that the CSU does not use automated decision systems or artificial intelligence tools in making hiring or selection decisions. All applicant evaluations and employment decisions are made by human
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candidates with expertise in theranostics, who would contribute clinically to a busy nuclear medicine practice, or those with a background in informatics or artificial intelligence, who would practice within a
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informatics, data sciences, artificial intelligence, renewable energy, and health, among others. Our faculty and students are part of the high-tech start-up culture in New York City and in downtown Brooklyn
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California State University, Long Beach | Long Beach, California | United States | about 23 hours ago
8th in the system for print collections, 4th largest in ongoing subscription access, and 6th in overall library budgets. About the Position The Engineering and Artificial Intelligence (AI) Librarian is
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and a demonstrated commitment to teaching who will support and expand our academic programs in Electrical Engineering, Computer Engineering, and Cybersecurity. Areas of interest include Artificial
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About the Opportunity About the Opportunity Northeastern University invites applications for a non-tenure track open rank Teaching Professor position in artificial intelligence and health data
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George Washington University | Washington, District of Columbia | United States | about 17 hours ago
our multi-disciplinary initiative in Trustworthy Artificial Intelligence (AI), which studies AI in the context of the systems and society in which it is deployed. Areas of interest include, but are not
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hydro informatics, flood forecasting/early warning, urban flooding, radar/satellite precipitation, Artificial Intelligence, and resilient infrastructure systems. The successful candidate will be expected
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engage in data-driven, computational, and/or pluridisciplinary approaches to cultural, literary, or visual analysis. Other research areas of interest include cultural analytics, artificial intelligence
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evaluation, Interpretation of results in applied environments. Specific Requirements Knowledge: Artificial Intelligence: machine learning, reinforcement learning, demonstration learning and reinforcement