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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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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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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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platforms at our prestigious Centre for in vitro Predictive Models (https://www.cpm.qmul.ac.uk/ ), and work with project partners based at the Cross Institute Advanced Tissue Engineering (CREATE) lab
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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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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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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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and stroke in Sierra Leone (SL). We will support the Ministry of Health SL by collecting the data necessary to design evidence-based interventions. The role will be responsible for supporting MRC SLASH