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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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, topology, the mathematical foundations for data and AI, and mathematical statistics. A wide range of training opportunities for further qualification is provided. Up to 20% of the position may include
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, there are active research groups in a number of areas, for example algebraic geometry, algebraic topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems
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sense, including not only central areas of analysis, but also areas of mathematics where analysis is a dominating characteristic. Examples of the latter include subareas of dynamical systems, geometry