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Field
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-modality ultrasound analysis. The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is
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of treatments. The role of trace elements can be measured with Scanning Transmission X-ray Microscopy, integrated into a multi-modal imaging platform: using also super-resolution Infrared microscopies, X-ray
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The Impresso project at the University of Luxembourg is seeking a Postdoctoral Researcher to help pioneer new approaches to data-driven media history across languages and modalities. Leveraging
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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collaborate with researchers using neuroimaging modalities, clinical and behavioral assessments to investigate brain mechanisms underlying development of obesity and diabetes. Individuals with experience in
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healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi-modality ultrasound analysis. The appointee will be part of the Noble research
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis