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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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quantification of intermediates, products and byproducts will further be developed, as well as reaction tracking. A second PhD student on the project will be responsible for developing the catalytic process and
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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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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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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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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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of such latent thermal energy storage. This installation will be taken into operation in March 2026. To optimize the controllability of cold storage using phase change materials, a novel charge determination
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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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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is
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typically done by manually adjusting control gains through trial and error - a time-consuming process that is increasingly unreliable as grid conditions shift from minute to minute. This PhD project will