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use a series of model systems with increasing complexity, including patient derived spheroids, to recreate the breast tissue during obesity we study cellular metabolism via our dedicated MS facility. In
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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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should have experience analysing data in large developmental cohort studies, experience conducting meta-analysis, experience with using structural equation modelling and working with statistical software
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strong background and experience in performing advanced high-resolution TEM. Experience in performing such characterisation on 2D materials and a deep understanding of their structure-property
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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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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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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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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