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numerical modelling methodologies, including AI‑assisted surrogate models Designing and conducting impact experiments for model validation Developing research proposals and leading individual research
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models (mathematical + software) of existing grid operational practices Systematically exploring different formulations of mixed-integer constraints in grid optimisation problems Developing machine
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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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between the University of Plymouth and Cornwall Partnership NHS Foundation Trust, starting in May 2026. About the role The purpose of the role is to develop and apply mathematical models and computational
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). The post is funded by BBSRC and is fixed-term for 12 months, expected to start on the 1st of April, 2026. You will be joining a team to carry out both experimental and mathematical modelling research in
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-based models using a range of molecular biology techniques. You will be expected to optimise and troubleshoot new cellular and biochemical assays for testing developed bioactive compounds and take an
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insulin receptors in cellular and animal models of human insulin receptoropathy. Insulin receptoropathy is a rare form of diabetes, for which there is no effective treatment. Your mission: Optimise next
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high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You should possess a PhD in a
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. The process will be validated in a high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You
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Disclosure and Barring Service Check will be required. For an informal discussion to find out more about the role then please contact Professor John Terry: by email at john.terry@plymouth.ac.uk What we’re