45 engineering-computation "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Tübingen
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established collaborations and access to state-of-the-art cryo-microscopes. Tübingen is an international, dynamic, and lively university town. For more details about the ZMBP, please visit: http://www.zmbp.uni
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Department, visit https://uni-tuebingen.de/en/faculties/faculty-of-humanities/departments/department-of-history/institutes/modern-history/homepage/. The position is funded for 2,5 years. The salary will be
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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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years) is to be filled as soon as possible. The position is embedded in a Momentum grant of the VolkswagenStiftung and is situated in the research group Teaching and Learning with Educational Technology
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group Teaching and Learning with Educational Technology (Prof. Dr. Andreas Lachner) at the Institute of Education. At the heart of the project is the transformation of the re-search group into a trans
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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