13 modelling-complexity-geocomputation Postdoctoral positions at University of London
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About the Role The project “Open Mirror Geometry for Landau-Ginzburg models, Renewal” (funded by the UKRI), will broadly involve understanding mirror symmetry for Landau-Ginzburg models
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are particularly active in programmes of research on public mental health, health promotion, prevention and early intervention. Programmes include work in health services, and population studies of complex risk and
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novel models and tools to improve cancer early detection. They will contribute to Cancer Research UK and NIHR funded projects, including studies using large healthcare datasets, such as CPRD, focussed
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Essential requirements are a PhD (or close to completion) in a relevant subject, with experience in cell and molecular biology (including “omics” technologies, and microscopy). Experience in 3-D modelling
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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understanding of cancer risk and developing novel models and tools to improve cancer early detection. The successful candidate will contribute to Cancer Research UK and NIHR funded projects, including studies
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animal handling and behavioral experiment procedures required for calcium imaging studies on cognitive tasks y to reveal mechanisms underlying flexible cognition. Comparable experiments in animal models
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About the Role This is an opportunity to work as part of the team and project “Development of Multi-Modal Foundational Models and AI Accelerators for Zero-shot Intelligent Surveillance System
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with cell lines and human primary cells, cell culture, transfections, immunostainings, western blotting, reporter assays, in vivo testing including models of osteoarthritis in mice. Professor Dell’Accio
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to identify shared genetic regulation with common, complex diseases to discover new drug targets, indications and disease mechanisms. We have a keen interest in training the next generation of scientists