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of chemistry, biochemistry or comparable Salary group 13 TVöD Temporary contract until 30.06.2026 under the reserve that funds are granted Full-time / suitable as part-time employment The Bundesanstalt für
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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of the university hospitals in Germany. We are part of the Excellence Cluster ImmunoSensation (https://www.immunosensation.de/) at University Bonn, which is now the most successful University within the Excellence
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für den öffentlichen Dienst der Länder (TV-L, Public Sector Collective Agreement on Länder) salary scale at level 13. The position can also be filled on a flexible part-time basis with at least 30h/week
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) Collaboration with interdisciplinary teams to enhance model performance, adaptability, and usability within physics and materials science communities Publication and dissemination of research findings in
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at local, regional, national and European scales across the terrestrial, freshwater and marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models
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with project B5 “Clarifying the Common Ground: A Crosslinguistic Investigation of the Form and Pragmatic Function of Reprise Questions and Reprise Fragments” of CRC 1718. The project seeks to undertake
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
Job Code: 395 Job Offer from June 26, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg invites applications for up to three postdoctoral position to work on topics related to ISM
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of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes
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With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and resilient