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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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those with expertise in cardiac MRI acquisition. While experience in machine learning is not essential for this pathway, a strong technical understanding of imaging and post-processing is helpful. You
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. This includes prototype soft elastomer actuated lenses and mechano-chromic pressure sensors. This project will help the PI (James Busfield) to write up these discoveries as high impact journal papers. You will
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embedded in the School of Biomedical Engineering & Imaging Sciences, a vibrant community of engineering designing and translating technology into the clinical. The project will follow the King’s College
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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support, the centre plays a key role in driving technological development and innovation in fluorescence imaging. Joining this team means working at the forefront of microscopy in a collaborative, research
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About the role We are looking to appoint a Research Associate in Cardiac Image Analysis to analyse cardiac MRI datasets in a national multi-centre study. This multidisciplinary collaboration will
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2026, however, an extension beyond this date will be considered if the expected external project funding allows nearer the time. The Centre for Electronic Imaging (CEI) is a research centre based within
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research and preclinical imaging. The post-holder will be expected to provide exemplary practical technical support to QMUL research scientists and students and to our external core service users. About You