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collaboration with experimental groups, to address questions of biomedical or industrial relevance. The candidate will develop and use machine learning methods (mainly graph neural network architectures
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Job description: - Research in algebraic topology/ algebraic K-theory / higher algebra - Teaching within the math department - The opportunity to earn scientific qualification (habilitation) will be
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and use machine learning methods (mainly graph neural network architectures) to design representations and transferable energy models for proteins and materials. The position will serve to develop your
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approaches with informed institutional analyses of capitalism, finance and insurance, housing and welfare states as well as policing and drawing on theories from Comparative Political Economy, historical and