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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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relevance. The candidate will develop and use machine learning methods (mainly graph neural network architectures) to design representations and transferable energy models for proteins and materials
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of critical agency. Job description: - Research and publication activities in the following areas: social and political philosophy, critical theory, political (i.e. feminist and critical race) epistemology
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combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories from Comparative Political Economy
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The group of Dr. Ordóñez focuses on the theory of nonlinear chiral light-matter interactions. We study how to control the quantum dynamics of chiral molecules by structuring electromagnetic fields