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at the University of Tübingen that investigates individual, social, and institutional determinants of learning and educational processes. We employ a wide range of methodological approaches, from large-scale
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development and perform moderate teaching duties. Applicants are required to hold a PhD in physics or an equivalent doctoral degree. Applicants should provide a curriculum vitae, a list of publications, a brief
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theoretical and empirical cognitive science point of view (e.g., mechanistic interpretability, neuro-symbolic systems, human-machine comparison). The project entails co-supervision of PhD students and is
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in an area of safe machine learning and/or applications in healthcare Management of a team of PhD students, postdocs, and software developers Coordination of the implementation of research prototypes
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modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native-level of spoken and written English, and
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
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Research Center on Human Evolution (CENIEH), Spain. Candidate Profile PhD in palaeoproteomics, proteomics, biomolecular archaeology, chemistry, or an applicable field; Experience in generating de novo