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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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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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, 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
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 10 hours ago
, theoretical physics, or a related discipline. Candidates should preferably have a strong theoretical background in machine learning, a solid foundation in linear algebra, and excellent programming skills
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, Lam, Rodríguez Camargo), Modular Forms (Zagier), Teichmueller Theory (Hamenstaedt), Complex Algebraic Geometry (Huybrechts), Global Analysis (Mueller), Topology (Barthel, Ozornova, Schwede) and
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. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content PhD in Mathematics Our Graduate School is organised into the following sections: A - Algebra, Number
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+. Areas of expertise include: Geometry and topology Algebraic geometry and number theory Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics