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Position Description The new Collaborative Research Centre "Generalised Motivic Methods in Geometry" (DFG CRC 1785) at the University of Regensburg welcomes applications to PhD and postdoc positions
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foundations of medical deep learning. The project focuses on novel self-supervised objectives, information geometry, mitigating representation bias for rare pathological findings, and building next-generation
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 18 hours ago
role Conduct cutting-edge research on generative models for materials science. Combine concepts of differential geometry and group theory for improved generative models that utilize the symmetry group
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excellent Master's or Bachelor's degrees in the areas of research advised by one of the MPIM directors: Arithmetic Geometry (Scholze) Geometric Langlands Theory (Gaitsgory) Topology (Teichner) Representation
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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
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Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F - Stochastics International elements