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installation at DTU Campus for server room cooling will serve as a pilot for testing, control, and optimization of such latent thermal energy storage. This installation will be taken into operation in March 2026
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liquid states can help make cooling systems more flexible and reliable. A large-scale pilot installation at DTU Campus for server room cooling will serve as a pilot for testing, control, and optimization
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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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used in this project. The overall goal of the project is to use AI to optimize combustion in real time and select which combustion mode is the best at each instance. The AI controlled engine will rely
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-largest contributor to global electricity growth. The holistic research investigating the optimal transmission configurations, sizing, control, and scheduling of cooling that is tailored to building
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, targeted mechanical weed control, etc.) profitable, contributing to increased biodiversity locally and reducing the need for insecticide use. Responsibilities and qualifications The PhD projects are funded
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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