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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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Engineering and the activities will be developed at lab and pilot plant scale. This project is a collaboration between multiple partners, including Department of Chemical and Biochemical Engineering, DTU and
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