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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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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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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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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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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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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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-Cas9 models, bio-informatic analysis, using TEcounts, SQuIRE and ChIPseeker, including pipeline design and custom scripting with Unix, Python and R. About the School/Department/Institute/Project
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information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .