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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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well as in fuel cells. Your tasks in detail: Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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techniques from the macro- to nano-scale to assess corrosion mechanisms in fresh and irradiated light water reactor (LWR) and MOX fuels Examining solid state chemical and physical processes that may affect
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automation experts to develop and use a reliable, fast, electrochemical testing process Your Profile: Excellent master degree in process, electrical, chemical, or mechanical engineering or a related discipline
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and project meetings as part of your work Opportunity to gather industry-relevant knowledge about the complete manufacturing process of batteries as part of their scientific work - from the synthesis
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, physics or a related field of studies. Independent, analytical, and conscientious way of working An interest in system analysis Knowledge about modeling is an advantage. Knowledge about programming
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presenting the results, while collaborating with other group members and collaborators You will obtain your PhD from Bonn University. Your Profile: Completed Master`s degree in physics (or related fields
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within the scientists at JSC, Bonn University, and within the CRC "NuMeriQS" You will obtain your PhD from Bonn University. Your Profile: Completed Master`s degree in physics (or related fields) Ideally
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layers and membrane electrode assemblies (MEAs) for electrochemical characterization Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after operation