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-the-loop (HIL) validation. The Research Staff will contribute to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based
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participation, control strategies, lifetime extension) Risk, uncertainty quantification, and value-of-information perspectives for operational decision making System representations (e.g., structured model
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of the Systems and Control division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation
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the potential of heat and flood mitigation strategies using nature-based solutions, in particular green–blue infrastructure, interacting with existing grey infrastructure. The focus is on modelling
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across medicine, nursing, pharmacy, podiatry, and other health professions to design integrated, team-based care models that address prevention, education, and treatment of diabetes and its complications
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offer an alternative model to safely and appropriately facilitate transport for behavioral health patients receiving care at Boston Children's Hospital and Franciscan Children's to other behavioral health
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within an avian microbiota grown in vitro. Finally, control strategies based on the use of molecules that inhibit bacterial communication will be tested in this model. The most promising approaches will
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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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tailored for these missions. This PhD opportunity is fully funded as part of the ECHOES ERC project. The main objective of this doctoral research is to integrate coronagraphs with actively controllable
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, privacy, access controls, and metadata management. Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture