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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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the state of the art in 3D heterogeneous integration (3DHI), chiplet-based architectures, and multi-component microsystems- catalyzing breakthroughs across microelectronics, artificial intelligence, quantum
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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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microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices. Our Impact Backed by $1.4 billion in combined funding from DARPA, Texas state
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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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of the development of digital twins and artificial intelligence (AI) applications. These positions in the Nuclear and Radiation Engineering program, at the University of Texas at Austin (UT
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the state of the art in 3D heterogeneous integration (3DHI), chiplet-based architectures, and multi-component microsystems- catalyzing breakthroughs across microelectronics, artificial intelligence, quantum
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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