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): Essential: PhD (or equivalent experience) in Computer vision or a closely related discipline Significant postdoctoral research experience in cardiac image analysis Knowledge and experience (will be assessed
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. The Computational Cardiac Imaging Group works at the intersection of clinical imaging, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses
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in a relevant subject or be due to complete PhD within 6 months. Relevant subjects include image processing, computer vision or biological sciences with significant experience in image 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
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techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with
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techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with
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techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with
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of many new techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes
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techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular level, with
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creative engagement activities. Some of the special projects undertaken recently include A Picture of Health (an exhibition of art, publication of a community-sourced book and a series of panel events