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, and statistical evaluation of machine learning models. ● Preferred: Experience with self-supervised learning, natural language processing (NLP), cognitive modeling, and privacy-aware methods. This
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mathematics, computer science, and engineering. Proposals that include deep or machine learning applications of artificial intelligence are particularly encouraged. Special consideration will also be
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Zhu is researching machine learning assisted multiscale computational modeling of particle-laden flows for application to blood flow and targeted drug delivery. Kyle Artelle Earth, Environmental and
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Zhu is researching machine learning assisted multiscale computational modeling of particle-laden flows for application to blood flow and targeted drug delivery. Kyle Artelle Earth, Environmental and
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness