19 computer-programmer-"https:"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions at University of Tübingen in Germany
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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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University services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT
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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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: Enrollment in a Master’s or Ph.D. program at the University of Tübingen Responsibilities The Student Assistant will work closely with CSU exchange students to support their academic experience and facilitate
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to gain experience in all areas of HPC-Cluster operation Flat hierarchies and the encouragement of own ideas Flexible (remote) working hours Job ticket University sport program The position is initially
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processing the data collected in the course of the study. Requirements: Degree programme in law or computer science; strong interest in AI applications and in the associated legal and economic issues; strong
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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. The fellowships are funded by the state of Lower Saxony and are part of a joint doctoral program with the state of Baden-Württemberg on the evolution of cultural modernity. Requirements for filling the positions
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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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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