927 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" uni jobs in Germany
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) Application Deadline 6 Apr 2026 - 10:22 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 13 Mar 2026 Is the job funded through the EU Research Framework Programme? Not
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available in the further tabs (e.g. “Application requirements”). Programme Description The Max Weber Programme is open to particularly gifted students who are enrolled at a Bavarian higher education
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available in the further tabs (e.g. “Application requirements”). Programme Description The Fulbright programme is aimed at financing academic stays by US citizens in Germany. It offers a range of different
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At the Fraunhofer Institute for Laser Technology ILT, we may not be developing swords to fight the dark side of the Force, but our developments often sound like science fiction. That's because we
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Interactions in a Changing World”, together with three tenure-track professorships at the University of Tübingen and a W3-professorship at the University of Hohenheim. TERRA will develop an integrated
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in Germany with a Master’s degree. Who can apply? The scholarship programme aims to support the professional development and employability of young academics and future professionals who are Mexican
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Europe • Membership in the International Graduate School of Science and Engineering (IGSSE) and participation in the course program (https://www.igsse.gs.tum.de/en/igsse/about/) • IGSSE-funded doctoral
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arbitrage opportunities. At the same time, there is a growing need for transparent and extensible open-source tools to analyze these effects. Within this project, you will contribute to the development and
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at the Fraunhofer ILT works closely with partners from industry and research on the development of process and system technology for laser metal deposition. The EHLA process (extreme high-speed laser
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Related works: [1] Sagawa et al., Distributionally Robust Neural Networks for Group Shifts (GroupDRO) https://arxiv.org/pdf/1911.08731 [2] Liu et al., Just Train Twice: Improving Group Robustness Without