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Field
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The Division of Informatics Imaging and Data Science wish to appoint a Research Associate to an exciting project developing a system to make measurements of children’s hips from digital radiographs
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and technology. Desirable (not essential): Research experience in sports medicine and technology (e.g. publication or final year project). Programming skills in MATLAB or Python. Application Procedure
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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include training in computer science, human-computer interaction, etc. A Master’s degree is desirable. In addition, candidates for whom English is a second language should meet the University’s minimum
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful candidates will work with Prof Declan O’Regan in the Computational Cardiac Imaging Group as
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patients with lung / cardiac MRI and improve patient experience. Image computing support for pulmonary MRI applications. Development of hardware for neonatal / paediatric MR applications Contribute to and
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’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
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image denoising, and hyperspectral analysis. Work with partners such as the Ada Lovelace Centre (ALC) and STFC AI for Science to integrate computational models into operational platforms (e.g., Bluesky