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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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of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically qualified with full GMC registration with license to practice in
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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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biomedical imaging agents. The centre combines cutting-edge chemistry with clinical applications, supporting observational studies and clinical trials to advance precision medicine. The joint UCLH
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bronchoscopy programmes for patients with premalignant changes in their lung. We offer a rapid diagnostics clinic in the UCLH Macmillan Cancer Centre, which includes state-of-the-art imaging with computed
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We invite applications for a Research Fellow in Computer Vision to join an exciting interdisciplinary project between the Centre for Intelligent, Sustainable Computing and the Centre for Public
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span