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of pure mathematics, including algebraic geometry and algebraic topology, complex analysis, logic, mathematical physics, number theory, operator theory, partial differential equations, and representation
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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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mechanisms determining their separation. The project will either have a strong emphasis on theory, molecular biology techniques and microscopy, and/or on bioinformatic and evolutionary analyses. Main
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spans all areas of chemistry such as analytical chemistry, physical chemistry, materials chemistry, inorganic and structural chemistry and organic chemistry. The research projects are many from theory
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description The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems