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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance
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computational models for trustworthy applications in critical care. The doctoral position is part of the research initiative “The Digital Society” at ØUC. Project description Intensive Care Units (ICUs) generate
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your
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of buildings by combining simulations with experimental data investigate human comfort based on the experience of the occupants of buildings building information modelling and digital twins development of user
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop