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within the Clusters of Excellence ‘Machine Learning for Science’ and ‘Image-Guided and Functionally Instructed Tumor Therapies (iFIT)’. Requirements PhD in Bioinformatics, Computational Biology, or a
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with project B5 “Clarifying the Common Ground: A Crosslinguistic Investigation of the Form and Pragmatic Function of Reprise Questions and Reprise Fragments” of CRC 1718. The project seeks to undertake
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journals and edited volumes, and present your work at international conferences. Collaborate with our digital humanities team to engage actively in the development and data curation for the "OMnibus of
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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
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mathlib) for Automated Discovery in Physics Agentic frameworks (e.g. LLMs with tool-use) for closed-loop idea generation for physics (example here ) Other projects are certainly possible too. In general, we
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conducting experimental research. Knowledge of the literature on probabilistic pragmatics, cognitive psychology, and formal epistemology is welcome. The ability to work in a diverse team, with members from
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for improving the education landscape. Nationally and internationally, our research institute is one of the leading centers for empirical educational research. As an interdisciplinary team, we work on current
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of programming languages such as Python is an advantage. Practical lab skills and enjoying experimental work is also a plus. Involvement in teaching (supervising practicals or tutorials) is possible. Your tasks
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable