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Field
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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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Postdocs, assistant professors, junior research group leaders Vocational training at the University of Tübingen International researchers Excellent research conditions Values Career development Benefits
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modelling in various plant species. All available projects are detailed where applicants will also find more information about the host groups. Your profile You are a highly qualified and motivated student
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models to collaborate, adapt, and forget outdated knowledge intelligently, and a DFG-funded project on distributed optimization and scalable training of deep neural networks, including transformer
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-microfluidics (Thomas Pfohl, Physics Institute, University of Freiburg), bacterial ECM mechanobiology and biochemistry (Liraz Chai, Hebrew University of Jerusalem) and theoretical modeling (Vasily Zaburdaev Max
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management platform that connects institutes to facilitate a rapid and efficient exchange among experimental and computational groups Devising an approach in invertible predictive modeling that links
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copy of your Bachelor's academic transcript and certificate.- A copy of your Master's academic transcript and certificate. If your Master's degree is pending, please provide an interim transcript
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-bayreuth.de Dr. Gerd Steinle-Neumann . Atomistic simulations on physical properties of planetary materials with the goal of improving our understanding of the state and evolution of planetary interiors. Email
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management (RDM) system. The goal is to create an overarching data space for the RTG that integrates various experimental techniques and simulation methods. This includes concepts for ensuring data quality
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description: The focus of the RTG is on the development, characterization and modelling of novel, multi-phase composite systems capable of withstanding temperatures substantially beyond 1300 °C and harsh