20 algorithm-development-"Multiple"-"Prof"-"Prof"-"UCL" positions at University of Tübingen
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-data management of the Cluster of Excellence. We envision the development of a next-generation data management strategy with seamless reproducibility from field data acquisition to model-based analysis
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(MSc) in Geoecology are interdisciplinary study programs at the interface of geosciences and biology that train students to understand complex environmental systems towards developing sustainable
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algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
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experience and an outstanding research record. The ideal candidate will work on the hominin fossil record as well as on extant primates to elucidate important questions on the adaptations and evolution
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the evolutionary processes leading to major biological transformations in human evolution. An excellent publication and third-party funding track record, as well as relevance of research for human evolution
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microbial communities and plant performance, and will assess the legacy of such effects on plant performance across subsequent generations (plant-soil feedback). The results will support the development of a
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experience and an outstanding research record. An excellent publication and third-party funding track record, as well as relevance of research for human evolution, are expected. The successful candidate should
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, research processes and the findings obtained in the cluster. Your tasks and activities will include: Developing and implementing an overall strategy for the Cluster of Excellence “HUMAN ORIGINS” public
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will support both the development of the project and the implementation of related activities. Responsibilities include, among others: OCR digitisation of primary sources Support with research tasks
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27.06.2025 Application deadline: 15.08.2025 We are seeking an exceptional Postdoctoral Researcher – Evaluation Methods in NeuroAI (m/f/d, E13 TV-L, 100%) to develop statistical methods and