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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly deformable and nonlinear nature. This PhD project aims to advance the navigation and control of soft
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly
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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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team of appr. 60 researchers specialized in robot solutions involving modelling, estimation, and control of advanced robot technologies. The group is involved in a variety of national and European
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
, gases and applied potential conditions. The project will also include the development of advanced simulation models to characterize and predict moisture transport through gel substrate and interfacial
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and