15 scholarship-phd-agent-based-modelling Postdoctoral positions at University of London in Uk
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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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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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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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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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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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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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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of
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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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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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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with