15 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " uni jobs at University of Tübingen
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. Candidates are expected to have a strong background in evolutionary theory and in computational approaches to human bio-cultural diversity and evolution. The successful candidate will take an active role in
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The
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from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni
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physics, as well as by committing to organizational and implementation-related tasks within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in
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The Children’s University of Tübingen Neuroscience student lab Kastanienhof – Dialogue Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships
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through stable, accessible, and high-performance data infrastructure. What you will bring (position requirements) Master’s degree in information technology, applied computer science or computer engineering
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area “LaSTing: Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by the German Research Foundation (DFG
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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an infrastructure for academic high performance computation, along with the Universities of Heidelberg, Mannheim, Freiburg, Konstanz, Hohenheim, Esslingen, Stuttgart and the Karlsruhe Institute of Technology. Hosting
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school development) Interest in at least one of the following areas and willingness to specialize: use of AI in school contexts, teacher competencies for teaching with digital media, technology acceptance