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jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and
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CoRE) in Exposome Immunology, to be hosted jointly by the universities of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental
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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our
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adopters to evaluate how these coatings affect satellite system design, cost, and mission performance. The role will involve developing system-level models to quantify platform- and mission-level benefits
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of working with murine models, preferably models of neuroinflammation and / or neuro-oncology. Training will be available in all areas of the project. Experience performing intracranial surgery in mice would
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for crafting simulation-ready computational anatomy models, incorporating tissue microstructure properties. This is an exciting opportunity to apply your expertise to large-scale real-world datasets, including
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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to research funded by the NIHR Health and Social Care Delivery Research (HSDR) to explore how the employment and deployment models of additional roles staff in primary care impact on staff and patient
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of Manchester and Oxford. The CoRE will leverage cutting edge computational approaches, novel experimental models, and experimental medicine studies to uncover how pollutants and infections interact with our