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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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in mucociliary function. Regulation of post-translational modifications is complex and can involve a range of mechanisms e.g. fucosyltransferases catalyse the attachment of fucose to glycan chains and
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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server technology, including amongst others, Active Directory administration and Azure/EntraID/Microsoft 365. Ideally, you will have worked within a large, multi-technology network environment, supporting
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techniques, including flow chemistry ramping and high-throughput experimentation, to inform and enhance reaction understanding. Employ machine learning and kinetic modelling to analyse complex datasets
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to. The role holder will build strong professional networks with the Senior Tutors, Personal Tutors and others in their specific schools, which will be used to disseminate information, share best practice and
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the Centres for Doctoral Training (CDTs) in Net Zero Technologies, Sustainable Composites Engineering, and Digital Metal. Based within the Faculty of Engineering, you will act as the first point of contact
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of applying geometric approaches and techniques to solve problems. Networking, actively engaging with and valuing other research areas. Published papers/preprints in relevant academic journals. Excellent oral
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly