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computing can unlock new optimization and control strategies in future power systems. Our projects are conducted in an international and multidisciplinary environment, bringing together expertise from across
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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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accumulation in the environment. Recent studies identified natural bio-converters, such as bacteria and fungi that contain efficient PET-degrading enzymes (PETases). These PETases are currently being optimized
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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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that match the position's content and responsibilities. The applicant is expected to have expertise in the design and optimization of electrical and mechanical components, including actuator selection and
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inflow reconstruction techniques for lidar-assisted control and load assessment/validation. Contribute to the development and modelling of wind turbine control methods with the aim to optimize wind turbine
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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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for application in biocatalysis. Enzyme kinetic analysis. Development and optimization of multi-enzyme cascade reactions. Disseminating project results through scientific publications and conference presentations
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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