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Job Description Are you passionate about the green energy transition? Do you wish to contribute to the development of solutions to support the increasingly renewable power grid? This fully funded 3
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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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)" and the Researcher will be positioned to the section for “Electric Power Systems and Microgrids”. The research areas will focus on developing models, methods, and tools to support the coordinated
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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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professional network through international research stays and develop innovative solutions that support the global transition to sustainable energy systems. Apply now to make a difference in the field
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application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Technology for people DTU develops technology for people. With our international elite research and study programmes, we
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM