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in symplectic topology, mirror symmetry, geometric topology, dynamical systems, algebraic geometry, number theory, and mathematical aspects of quantum field and string theory. IBS-CGP is located
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mathematical, statistical, or computational tools. The candidate must demonstrate a strong interest in methodological development. Proven competence in probability, linear algebra, and statistical modelling is
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of three divisions: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Mathematics ranges over many different areas of mathematics, from algebra, geometry and
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part of an interdisciplinary collaboration between mathematicians and physicists aiming to develop novel algebraic and geometric structures by extracting exact information from physical theories. Active
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for joint events. What we expect A solid background in at least one of the areas essential for the CRC, e.g., higher category theory, algebraic/arithmetic geometry, homotopy theory, geometric topology
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Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers
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focuses on four key research themes: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics and Data Science. There is extensive collaboration between these themes
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, cluster structures, flat surfaces, and spectral networks. The goal of the project is to build new far-reaching connections between algebraic geometry, dynamical systems, and mathematical physics using a
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logic and computation in classical and algebraic frameworks. This is an active area within logic in computer science and database theory with many possible research directions. The supervisor will help
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, especially in quantitative subjects • Strong Python skills and experience with deep learning frameworks, preferably PyTorch • Solid foundations in machine learning, statistics, linear algebra, and model