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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant challenge for artificial intelligence. Our lab’s research is driven by the observation
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the direction of Dr. Bo Liu. The team is a collaborative partnership between nine Universities across the US led by the
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voice in Artificial Intelligence (AI)-enabled restructuring. The Postdoctoral Associate will work with ILR faculty member Virginia Doellgast in the Department of Global Labor and Work. In
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Artificial Intelligence (AI)-enabled restructuring. The Postdoctoral Associate will work with ILR faculty member Virginia Doellgast in the Department of Global Labor and Work. In addition to working
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Suite Experience Requirements and/or Equivalents This is an entry-level position Practical and/or research experience with artificial intelligence, including college-level coursework, highly preferred
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer