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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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research environment. About You The ideal candidate will hold a degree in engineering, physics, robotics, or a related field, with a strong academic background in optical sensing and imaging technologies
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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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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