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neuroscience, artificial intelligence (AI), machine learning (ML) and computer science. We are particularly interested in outstanding candidates with innovative research programs that attempt to bridge the gap
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of interest may include, but are not limited to: · Artificial intelligence and machine learning; · GIS, mapping, and other geospatial analysis and visualization techniques; · Extended
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to artificial intelligence, with particular interest in candidates who can interface with any of our current major areas of research in syntax, semantics, pragmatics, sounds, psycholinguistics, cognitive science
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Description The Department of Chemistry at The University of Texas at Austin invites applications for tenure-track faculty whose research programs broadly align with the themes of Artificial
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the areas of cancer biology, immunology, and cancer therapeutics. We are particularly interested in candidates who utilize innovative computational approaches, data analytics, or artificial intelligence
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) or artificial intelligence and its applications (especially foundational machine learning or machine learning applications). All positions are subject to the availability of funding. The department is ranked
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, and/or artificial intelligence) that broadens participation in computing. Lead various computer science and artificial intelligence educator cohorts as a project director who manages participant
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Systems. Specifically, we seek applicants who are conducting rigorous research in Artificial Intelligence (AI) and other digital technologies within a specific business or use context to solve pressing
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specializes in the study of artificial intelligence in the development, adaption, or revision of curricula, and/or the development, modification, or enactment of classroom instructional approaches or models
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education anywhere in the world. UTCS has a close relationship with Austin’s thriving tech culture and works at the forefront of fields such as artificial intelligence, robotics, quantum computing, and