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competences within computational modelling, optimization and integration of thermal energy storage technologies – such as large water pits and phase change material storage. You will work with colleagues, and
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outcomes of obesity. Research environment The project will benefit from the highly interdisciplinary expertise in the ATLAS Center of Excellence. The work will primarily be carried out in the Functional
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education, you will follow courses and assist in teaching activities, and: You are expected to spend a period at a foreign research institution You will disseminate your work in international peer-reviewed
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energy storage molecules. Solvent effects on catalysts, substrates, and their interactions, on the ensuing conversion pathways, and on their branch-points will be explored. Your work will strengthen
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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researcher excited about working on the cutting edge of AI/Neuromorphic and user interface design? We'd love to hear from you! Research area and project description A Brain-Computer Interface (BCI) decodes
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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spectrometry, metabolomics, bioimaging and transgenic mouse work. Strategic research alliances exist with regional hospitals including Odense University Hospital (OUH). We are partners in several regional
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. During the project, you are expected to supervise Bachelor and Master students, work in tandem with colleagues and coordinate with collaboration partners, therefore we expect a high degree of project
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, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as leading industrial partners. As a PhD candidate