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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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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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sufficient to carry out image processing and data analysis. Skills in hypothesis-testing, experiment design, analysis of data sets and writing scientific manuscripts and reports. Demonstrate enthusiasm
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techniques, image analysis, genetic manipulations, biophysical approaches, and collaborate with theoreticians to address these questions. The specific details and aims of the project will be driven by
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of Nottingham, and this post supports the Medical Imaging team based in the School of Medicine. In this post, you will apply advanced imaging methods, including metabolic and physiological magnetic resonance
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sufficient to carry out image processing and data analysis. Skills in hypothesis-testing, experiment design, analysis of data sets and writing scientific manuscripts and reports. Demonstrate enthusiasm
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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within multi-disciplinary clinical and research groups such as imaging, pathology, engineering and molecular biology. The post will also involve liaising with Imperial’s Joint Research Office, industry
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process, please contact the HR Team on l.oppong@ucl.ac.uk The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please visit
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming