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interdisciplinary) research teams Desirable: - very good command of quantitative and qualitative research methods, especially experiences with computational large text data collection and analysis as well as with
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of medieval Latin and ancient Greek. Experience in palaeography and critical editing of – medieval – Latin texts is an advantage. Acquaintance with ancient and / or medieval philosophy is an advantage
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/or qualitative comparative social science research methods (e.g. regression analysis, QCA, process tracing); Experience with or strong interest in AI-assisted text analysis and/or large-N case-based
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established research team for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics. (Please find a German version below the English text.) The Chair of Decision Sciences and Systems
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, (Bio-)Informatics, Computer Science or related disciplines Strong background in modeling multi-modal data (images, tables, text, etc) Understanding of biases and causal inference Experience with machine