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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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the shift from the robust architecture of radio-TV transmitters and receivers to the far more complex and fragile structure of ‘over-the-top’ (IP-based) media delivery. The project will model optimal
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framework offering optimal inspection and maintenance decision support. Explore additively manufactured structural concepts, including performance trade-offs for lightweight, fatigue- and corrosion-resistant
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assessment. Design and train reinforcement learning agents to optimize operational safety. Build and validate dynamic Bayesian network models integrating empirical and synthetic data. Conduct scenario-based
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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