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scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include
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methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical
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