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of mathematical proof automation: You identify and address research questions in the field of mathematical automation in numerical analysis or approximation theory. You implement the developed methods in Lean. You
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analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. You can find more information about
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administration as well as in teaching and research administration The research should focus on data mining, e.g., clustering, representation learning, causality detection and graph mining. This is part of your
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the working group Economic Geography, which focuses on theory-led, evidence-based, and policy relevant research on spatial aspects of innovation-based socio-economic sustainability transitions. Our research
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an expert in the field of grammar theory (especially based on Romance data). Research competence and initiative proven through international publications in peer-relevant media. Experience in the scientific
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in computational surface science, electronic structure theory, computational materials discovery, or machine learning in materials science. Research competence and initiative proven through
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knowledge of methods and theories Experience or willingness to engage in academic teaching Very good English skills and, if possible, German skills or another foreign language What we offer: Work-life balance
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of Classical Philology / Latin Studies Excellent command of Latin and Ancient Greek A specialization in ancient epic or ancient drama is desirable; interest in literary theory, narratology, and reception history
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Teaching Methodology. In addition, the areas of Gender Studies, Cultural Studies, Media Theory, Literary Theory, and Literature for Children and Young Adults are well established. More than 5000 students
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methodological expertise in Ottoman/Turkish and European history, cultural theory, and digital humanities (DH) Research competence and initiative proven through international publications in peer-relevant media