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experimentally validate mechanical and electronic systems for image-guided therapy 2) Integrate pioneering and proven tools for the precise control and validation of interventional device placements 3) Examine
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invasive surgery. Essential skills include system integration, Image processing, data analysis, and excellent written and verbal communication. The ability to work both independently and as part of a
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. About the Institute The role will be based in the Digital Environment Research
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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the Centre for the Decentralised Digital Economy at Surrey University; and (c) Dr Lynn Love at Abertay University. To address the needs of P3R, you will have (or be awaiting Viva for) a PhD in a field related
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policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made
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, campus facilities and flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each