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written and spoken English skills High degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very
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of the best universities in Europe. Top performance in research and teaching, interdisciplinarity and talent promotion are its hallmarks. In addition, it has strong alliances with companies and scientific
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim
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results in materials with diverse microstructures and mechanical properties Perform experimental characterizations of additive-manufactured and heat-treated steels, using state-of-the-art methods, such as
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for cooperation with excellent partners at the FAU Erlangen-Nürnberg, the FZ Jülich, RWTH Aachen, and numerous partners in Germany and abroad An excellent international environment to perform sound, high-quality
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students on the campus, offering the chance to engage and connect - our PhD Representatives offer information and advice when needed access to high-performance computing a chance to contribute meaningfully
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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Max Planck Institute for Biology of Ageing, Köln | Koln, Nordrhein Westfalen | Germany | 24 days ago
talented researchers. The structured PhD training programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. We offer An outstanding
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Devices - Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies - Theory and Computation) towards the overarching aim of implementing an inverse design approach for novel