28 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at University of Tübingen
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applications, although this is not the primary goal of the position. What you will bring (position requirements): A PhD in machine learning or data science and a background in computer science, physics
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in
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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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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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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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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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uncovering fundamental principles of microbial interactions, resilience, and adaptation. We are expanding our bioreactor cultivation program and opening three PhD positions that will shape new cultivation
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Neuroscience student lab Kastanienhof – Dialogue Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships Postdocs, assistant professors, junior
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Neuroscience student lab Kastanienhof – Dialogue Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships Postdocs, assistant professors, junior
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim