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and toolsets for engineering measurements relevant to clinical settings. The project will be supervised by experts in DIC (Hari Arora), surgery (Iain Whitaker) and wider biomaterials imaging research
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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also contribute to academic knowledge in applied AI, image processing, and electronic systems verification. Unique Selling Points This project offers the opportunity to work on cutting-edge, real-world
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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award, highlighting its commitment to promoting women in Science, Engineering and Technology. Fluid mechanics, microfluidics, porous media, non-Newtonian fluids, image processing
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TypeOn siteAvailable for SecondmentNoClosing Date09-Sept-2025 Over the past 30 years, the Department of Imaging Neuroscience, home to the internationally renowned Functional Imaging Laboratory (FIL), has
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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Gibbons, working in close collaboration with Dr Lisa Story and the Perinatal Imaging team. The post will be based at the St Thomas’ Hospital campus and the postholder will be responsible for pregnant
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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in