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are FU partners in the Berlin Joint Laboratory on Ultrafast X-ray Science (BerLUXS) and the German-Eastern European Laboratory for Energy Materials Research (GELEM) at the Helmholtz Zentrum Berlin. Job
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI I https://www.leibniz-hki.de/en/# ) investigates the pathobiology of human-pathogenic fungi and identifies
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emerges, persists, and changes across spatial and temporal scales – and how it interacts with historical and current environmental and societal transformations. Our work bridges Earth system science
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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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will be located in and contributing to the ZMT Programme Area 3 Land-Ocean Fluxes and Transformation. Offering a synthesis of biophysical, biogeochemical and social sciences, the focus of this Programme
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free-electron lasers. A wide variety of magnetic material systems are studied, such as magnetocaloric materials, permanent magnets, catalysts, magnetic nanoparticles, and molecular spin switches. Your
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Institute for RNA-based Infection Research (HIRI) is the first institution of its kind worldwide to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong
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position within a Research Infrastructure? No Offer Description Work group: IAS-2 - Theorie der Weichen Materie und Biophysik Area of research: Scientific / postdoctoral posts Job description: Your Job
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funded projects Your Profile Completed doctoral degree in materials science, chemistry, physics, engineering or a related field In-depth knowledge of semiconductor technology and the physics of solar cells