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Field
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Biosciences houses 60 continuing academic staff, and more than 150 academic staff overall (including postdocs, and other research contingent staff) all working on the world's top biological challenges - from
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biomedical imaging agents. The centre combines cutting-edge chemistry with clinical applications, supporting observational studies and clinical trials to advance precision medicine. The joint UCLH
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taxa and their functional traits from images generated via FlowCam Macro (size-based data already exist). The successful applicant also will assume responsibility for data analysis, interpretation and
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: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture
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advances. The project will develop and apply advanced modelling techniques to high-dimensional clinical and imaging data, delivering real-world applications across the neuro-oncology landscape. Embedded
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estimation technologies (AET) from facial images. This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection of computer science and digital identity technologies
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biology methods, and neurological disease modelling or testing therapies in these model. Advanced IT proficiency including electrophysiological and imaging data processing and experience with statistical
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bronchoscopy programmes for patients with premalignant changes in their lung. We offer a rapid diagnostics clinic in the UCLH Macmillan Cancer Centre, which includes state-of-the-art imaging with computed
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and experience in extracting useful knowledge from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping
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balancing act for children and young people (CYP), who must carefully monitor food and activity. This pressure can lead to worries about food, weight, and body image, with 1 in 3 CYP with T1D struggling with