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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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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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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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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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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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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