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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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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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neural network models, produce stimuli for artificial and biological agents, participate in experiments with chicks maintained in the Biological Services Unit, contribute to lab meetings and research
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the School This post is based in the School of Engineering and Materials Science (SEMS) at Queen Mary University of London, recognised for excellence in computational modelling, fluid dynamics, and
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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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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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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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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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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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‘‘Driving change in access to and delivery of evidence-based rehabilitation for the benefit of patients with fragility fracture’’. The aim of the study is to improve patient and carer outcomes of acute