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. Leveraging advanced data analytics, emerging artificial intelligence (AI) tools, and innovative strategies, this position generates actionable insights that optimize supply chain processes, improve patient
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new developments in generative artificial intelligence (AI) might help us make progress in cognitive science. We look systematically at a number of specific areas where generative AI models and methods
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bioinformatics techniques to unify large and disparate data sets to develop realistic multiparameter models of tumor response and normal tissue injury; development and implementation of "big data" and artificial
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Engineering, including Operations Research (particularly Applied Probability and Stochastic Simulation), Data and Decision Analytics, Artificial Intelligence, and related disciplines. Our department's
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of infected cells. More specifically, the candidate will employ high content imaging and artificial intelligence computer vision approaches coupled with CRISPR/Cas9 screening to identify parasite genes
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analytics, reporting, and advanced artificial intelligence (AI) and machine learning (ML) strategies used for standalone supply chain insights or integrated with clinical data to support a clinically
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Apply Now Job Summary The Machine Learning in Neurosurgery (MLiNS) Laboratory in the Department of Neurosurgery at the University of Michigan studies how machine learning and artificial intelligence
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psychology, linguistics, philosophy, computer science and artificial intelligence, neuroscience, behavioral economics, ethology, and evolutionary biology. Rather than treat each approach separately, we focus
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of emerging and advanced instructional technologies (including, but not limited to artificial intelligence, virtual/augmented reality) to achieve more just and equitable educational learning opportunities
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that achieve measurable outcomes for millions of learners Collaborate with product and engineering leadership to research, explore, and evaluate opportunities for leveraging artificial intelligence in internal