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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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: Singularities, topology of singular spaces, applications to optimization. * Sebastien Roch: Discrete probability, applications in bioinformatics and networks. * Jose Israel Rodriguez: Applied and numerical
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Mathjobs.org | 29 days ago
analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are
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analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are