36 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Tübingen
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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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programme, please see https://uni-tuebingen.de/en/faculties/faculty-of-science/doctoral-studies/ and https://www.phd.tuebingen.mpg.de/imprs? Assessment Submitted applications will be reviewed by IMPRS
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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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: New Perspectives for Science". Details of the research activities as well as publications and background information are available on the group website: https://www.soft-matter.uni-tuebingen.de
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09.12.2025 The Hector Research Institute of Education Sciences and Psychology at the University of Tübingen invites applications for the following position: PhD Position on Computational Modelling
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international and dynamic team of engineers, microbiologists, and biotechnologists. Our group pioneers biotechnological platforms that connect microbial processes to future industrial applications while
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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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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
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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