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motion in non-classical geometries using combinatorial, algebraic, and group-theoretic methods, inspired by the mathematical theory of articulated systems and constraint geometry. Possible tools include
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competence in probability, linear algebra, and statistical modelling is essential for this position. A strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology is essential
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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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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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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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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 the selected
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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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data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
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, linear algebra, probability theory, (Bayesian) statistics, optimization and elementary graph theory Familiar with machine learning and deep learning Programming experience (Python or Julia) and their
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 6 hours ago
as a private, non-profit research institute. HITS conducts basic research in the natural sciences, mathematics and computer science with a focus on the processing, structuring, and analyzing of large