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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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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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than undesired routes. Solvent and additive effects will further be explored based on mechanistic insights. Your work thus will strengthen the detection and optimization of sustainable chemistry
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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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yourself with the tomographic 3D-printing process Characterize existing photo-initiators and photo-inhibitors with respect to spectral properties Optimize the choice to the two photo-initiators or the photo
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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the identification and development of data-driven models that can subsequently be used for system optimization. The project encompasses both algorithm design and experimental implementation. Close collaboration and
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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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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