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cell lines (both murine and human) and with murine models of autoimmunity and infection (therefore completion of HO modules 1-3 would be required). The post holder will also play a more general role in
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uncertainty associated with high renewable penetration in a more systematic and effective way. Specific responsibilities may include: • Developing models (mathematical + software) of existing grid
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letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who
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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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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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). 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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, or related subsurface modelling approaches. Competencies, Skills and Knowledge A strong track record (or clear potential) for peer-reviewed publications. Experience working with large or industry datasets
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grant to investigate “Connecting interchange reconnection to switchbacks in the solar wind”. Candidates with a strong track record in MHD modelling, and/or familiarity with solar wind observational data
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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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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