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Field
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, computer vision and clinically oriented artificial intelligence. You will have access to unique multi-site breast cancer datasets and the computational infrastructure required to analyse large collections
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knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
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dietary restriction. The project will integrate genetic, transcriptomic, proteomic, metabolomic, and gut microbiome data, with clinical and lifestyle information, to identify biological determinants
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therapies emerge and precision medicine become increasingly achievable, understanding this heterogeneity is critical. This PhD will use large-scale routinely-collected healthcare data and cutting-edge
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lab, offers a cheaper, GP-based alternative to endoscopy, increasing Barrett's detection and the number of people entering surveillance. This project will use large multicentre datasets to develop a
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
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activity, sleep and health behaviour change Project Description: Digital behaviour change tools reach large populations cheaply, but most deliver generic advice and lose their users within weeks. Large
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the clinical trial, contributing to data management and quality control, analyzing neuroimaging data, and disseminating findings through scientific publications and conference presentations. The position