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methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the
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, including quantum Hall systems, van der Waals and moiré materials, cavity quantum materials, and/or quantum geometry and topology are particularly welcome. The successful applicant will be joining a vibrant
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, dynamical systems, operator algebras and non-commutative geometry, differential equations/geometry, mathematical neuroscience and biomathematics, scientific computing, statistics, and mathematics education
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