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demand flexibility, solar and wind energy can be used to an optimal extent. The Technical University of Denmark, Department of Civil and Mechanical Engineering (DTU Construct), invites applications for a
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and process optimization to achieve safer and more efficient PFAS destruction. Your primary tasks will be to: Design and conduct laboratory-scale UV photochemical experiments Investigate
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cultures. To overcome the present-day challenges of the underlying field interaction with the lossy fluids and cells, machine learning will be used to optimize the resulting electromagnetic solutions
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inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
simulation results will be used to propose material and design guidelines for improved environmental robustness, such as optimized Cu pad and gel substrate compositions for IGBTs, and enhanced design