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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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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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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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performance. This topic is based on a Sapere Aude Research Leader grant from the Independent Research Fund Denmark: Optimizing Human-AI Interaction: Integrating Domain Knowledge into Causal AI Systems: Causal
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alerts, facilitating optimized maintenance decisions and reducing unplanned downtimes. The framework will be validated through close collaboration with industry partners, incorporating actual operational
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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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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, 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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at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
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facilities. You will be responsible for designing and conducting experiments to assess environmental (e.g. temperature and oxygen) tolerances and identify optimal conditions for the species, ideally working