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This PhD project is embedded within the nonlinear imaging initiative “Nonlinear Computational Imaging via All-Dielectric Metasurfaces.” It aims to pioneer new technologies in infrared imaging by
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science to varied audiences. Dr Luppi is committed to developing trainees' careers; see his Editorial, "Ten simple rules for aspiring graduate students": https://doi.org/10.1371/journal.pcbi.1009276
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research will be undertaken within the MIND Research Group ( https://www.physics.ox.ac.uk/research/group/magnetism-intelligent-devices-mind ) at the Department of Physics, University of Oxford, under
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
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and mechanistic studies, and computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong
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by the Engineering and Physical Sciences Research Council (EPSRC) as part of the pioneering project "Vascular Computational Modelling in Chronic Kidney Disease (VASCO-CKD)". Chronic Kidney Disease (CKD
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proposed PhD will address these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the