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machine learning to analyse cardiac motion for predicting patient outcomes, discovering potential therapeutic targets and identifying genetic risk factors. We use a flexible and inter-disciplinary approach
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of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging. Applicants should have an established track record of research in machine learning, statistics and bioinformatics
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internationally competitive research programme at the Laboratory of Molecular Biology (LMB) in the area of machine-learning/ artificial intelligence to further our understanding of biology at the molecular and/or
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internationally competitive research programme at the Laboratory of Molecular Biology (LMB) in the area of machine-learning/ artificial intelligence to further our understanding of biology at the molecular and/or
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machine learning and artificial intelligence. • To present your work at seminars within the Laboratory and at external meetings. • To contribute to the development of the processing and analysis
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Group works at the intersection of clinical imaging, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning