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Job Description Do you want to contribute to a new research field where oxide/metal hybrid devices are geometrically optimized to yield extraordinary performance, including the highest
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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. Special attention will be given to developing robust electromechanical, sensing, and control solutions capable of operating safely in electrically harsh environments, as part of the Robots4Green EUDP
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include the following activities: Material development, synthesis and method optimization Metal nanoparticle catalyst and ceramic material and cell component comprehensive characterization and benchmarking
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technical challenges and proposing innovative solutions. Conduct tests at DTU Construct to document and demonstrate the optimal use of recycled metal in production. Contribute to integrating our findings
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ultrasound imaging, silicon CMUT probes, animal experiments, and clinical investigations, and the main purpose is to translate the SURE method from a research idea to the clinic. The main task is to optimize
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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collection. Evaluate protein content, nutritional value, and functional properties of yeast biomass in various fermentation processes. Develop and optimize both liquid fermentation strategies offering high
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(microalgae and bacteria) affect the seagrass ecosystem function as greenhouse gas sink and the greenhouse gas production under environmental stress. Such knowledge is important to optimize the beneficial role