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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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demonstrate both strong mathematical foundations and a research program centered on modern AI, machine learning, or probabilistic computational methods. Faculty are expected to engage in high-quality research
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