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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max
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(at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs
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research and scientific exchange. To that end, we closely interact with experimental laboratories. You will: Develop, simulate, and analyze biophysical models of infection spreading and the inflammatory
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shock factors in plants”: PhD student (f,m,div) in Plant Biology Reference number: 26/2025/1 The salary will be based on qualification and research experience according to the wage agreement TV-L, up
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forward to receiving a short cover letter in which you describe your research interests and relevant prior experience. PROFESSIONAL AND PERSONAL REQUIREMENTS You have successfully completed a university
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Close communication with experimental colleagues to understand the setup and communicate promising parameters to explore Publication of results in scientific journal and dissemination at conferences Your
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Completed university studies (Master) in Chemistry or related field Experience in metal-organic syntheses Experience in working with glove boxes and Schlenk methods Experience in X-ray diffraction techniques
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journals with peer review and at international conferences Your profile Completed university studies (Master) in Chemistry or related field Experience in metal-organic syntheses Experience in working with
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. To this end, ion irradiations with iron (Fe) and helium (He) ions are applied to experimentally emulate fusion-specific damage phenomena such as hardening, swelling, and embrittlement. A particular focus is on
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materials. • Developing new methodologies in the field of nanofluidics. • Design and implementation of nanofluidic experiments with porous materials. • Publishing and presentation of scientific results