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rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant. The steps in the development of surrogate models are building data-driven models from medical imaging
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framework capable of accurately predicting pollutant transport and dispersion in coastal waters. By combining high-fidelity numerical simulations with data driven surrogate models, the proposed research aims
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interests in one or more areas of: turbine hydrodynamics and design, resource modelling, naval architecture and ocean engineering, system optimisation and control co-design. Candidates should identify
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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extensively with chemists, materials scientists and engineers. His laboratory uses a broad range of disease models including Drosophila, rodents, human neurons and brain organoids generated from patient-derived
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) The syntheses and collaborative spectroscopy of luminescent (di)radicals for the solar-driven small molecule activation as well as for application as optoelectronic organic materials. Fundamental insight
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Artificial Intelligence, commencing August 2025. We seek exceptional researchers who combine deep engineering expertise with a passion for engineering-driven AI innovation. Ideal candidates will have: (1) A