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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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of the research activities as well as publications and background information are available on the group website: https://www.soft-matter.uni-tuebingen.de Eligibility criteria The University seeks to raise the
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to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative imaging in particular, it will streamline image processing efforts and enable
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). This project is funded by the DFG priority program SPP2474, which aims to discover new gene functions in human microbiome members (see https://spp2474.de). More information about ongoing research in
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contribution to the further establishment and operation of the INW Long-Term Characterization X-Ray Laboratory Your Profile: Master`s degree with PhD in physics, chemistry, materials science, chemical
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of Tartu, and NTNU Trondheim. Focusing for instance on political turning points and crises, the network studies narratives of change in the Baltic Sea region. For further information see https
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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pioneering research proposal Your application, selection process and criteria Your application should include (in the following order, compiled in one pdf): letter of motivation (1-2 pages), CV including names
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PDF document to agapp@hfp.tum.de by February 6, 2026 at the latest. Information on the processing of your data can be found at: https://www.hfp.tum.de/hfp/aktuelles/stellenangebote/datenschutzhinweise
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-time ( https://go.fzj.de/near-full-time ), allow you to customize your working hours. VACATION: You will receive 30 days of holiday plus free bridge days (e.g., between Christmas and New Year). FAIR