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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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will combine the above-mentioned techniques to characterise the mechanical competence of paediatric bones and to provide a unique dataset to inform and validate computational models that aim
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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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the chemical reaction mechanisms and kinetics, and the resultant evolution of phase assemblage and structure at the nano and micro scale, which ultimately dictate mechanical performance. These changes, as
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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powder physical/chemical characteristics, lead to different physical and chemical characteristics and physical properties, due to extensive differences between aqueous and solid-state chemistry in each
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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Applying circular economy strategies to provide more space in cities with less resources and lower whole life carbon emissions School of Mechanical, Aerospace and Civil Engineering PhD Research
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using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected