79 development "https:" "https:" positions at DAAD in Germany

  • DAAD | Germany | 40 minutes ago

    Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de

  • DAAD | Germany | 41 minutes ago

    -LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development

  • DAAD | Germany | about 7 hours ago

    developed into its vibrant center. The newly DFG-funded Research Training Group “Biomolecular Condensates: From Physics to Biological Functions” (RTG 3120) at TUD Dresden University of Technology offers

  • DAAD | Germany | 33 minutes ago

    oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic

  • DAAD | Germany | about 21 hours ago

    , neutrino physics, computational physics and accelerator research as well as the development of sophisticated analysis techniques and modern technologies such as superconducting‑enhanced sensing and

  • DAAD | Germany | 37 minutes ago

    oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic

  • DAAD | Germany | 34 minutes ago

    Description The Research Training GroupGRK 2868 D³ - Data-driven Design of Resilient Metamaterials funded by the German Research Foundation has started in October 2023. Our vision is to develop and

  • DAAD | Germany | 32 minutes ago

    is to train creative, responsible and self-confident young researchers. The relevantproject focusses on the economics of soil-transmitted helminthiasis control interventions. Infections due to soil

  • DAAD | Germany | 26 days ago

    Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by

  • DAAD | Germany | 31 minutes ago

    and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762

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