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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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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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drug discovery. This is a new group at the University and you will support Professor West in it’s transfer from the University of Sussex. About You You will have a PhD in a relevant area and well
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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
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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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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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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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that affect our society. You will have a PhD in a scientific discipline with previous experience of extracellular vesicle research, including per-reviewed publications. About the School/Department/Institute