King's College London invites applications for a doctoral candidate to develop methods for personalising cardiovascular digital twins at scale, estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets, while addressing limited data and uncertainty. The project leverages UK Biobank imaging and functional data from about 100,000 participants.
You will study population variability, sex and ethnicity differences, and contrive population-scale twin frameworks
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PhD Fellowship: Scalable Cardiovascular Digital Twins employer: King's College London
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages professional development. Located in the heart of London, our institution offers unique advantages such as access to world-class resources and a vibrant community dedicated to advancing research and education.
