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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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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
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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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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo
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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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The role is to synthesise and assess novel radiopharmaceuticals and multi-modal probes and provide expertise as a lead chemist in a multi-disciplinary team of chemists, radiochemists, (radio)biologists
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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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, data collection, developing data-driven processing and analysis pipelines, and write-up of findings for publication. You will also be involved in supporting the supervision and training junior team
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, experiment coding, data collection, developing data-driven processing and analysis pipelines, and write-up of findings for publication. You will also be involved in supporting the supervision and training
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-modal data processing for real-world robotic applications. Strong background in deep learning, supervised and unsupervised learning, time-series analysis, information visualisation, with experience in