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of the so-called Witten bundle. These invariants enjoy a rich structure, and the mirror Landau-Ginzburg model is constructed intrinsically as a generating function of the open FJRW invariants. This project
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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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successful candidate will join the Intelligent Muscle Research Group, led by Dr Majid Taghavi, within the Advanced Robotics Laboratory. The role involves close collaboration with a team of researchers, led by
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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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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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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of those with and at risk of cancer through innovative research. BCI is internationally renowned in many areas of cancer research. It combines ground-breaking basic research with the expertise of clinicians
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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