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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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automated laboratory equipment to ensure reproducible and data-rich experiments. Close collaboration with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput
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experiments. Close collaboration with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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the project The following publications are related to the work to be performed within this project: Your Profile: Excellent master`s degree in Chemistry, Physics, Engineering, Material science or a similar
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technologies with the long-term goals of the energy transition, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project focuses on two central aspects: accelerating technology development
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from the Faculty of Georesources and Materials Engineering of RWTH Aachen University or the Faculty of Natural Sciences and Technology of Saarland University Comprehensive training offers and individual