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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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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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Role The School of Advanced Study, University of London, is a partner in a major international research project: ‘Project StoryMachine: exploring implications of recommender based spatial hypertext
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(inclusive of London Weighting) based on experience. The successful candidate will be part of the new Centre for Vaccinology and Regenerative Medicine, based on the Hawkshead Campus of the RVC (https
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of this study will have significant potential for advancing the clinical impact of hiPSC-based therapies. About You We seek outstanding, self-motivated, and ambitious junior researchers committed to pursuing a
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Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing. Free parking The post is based in Egham, Surrey where the College is situated in a beautiful, leafy