King's College London invites applications for a 3-year PhD-fellowship within the Cardiovascular Digital Twin network at the School of Biomedical Engineering & Imaging Sciences. The project aims to develop scalable methods for personalised cardiovascular digital twins using large imaging datasets, with access to UK Biobank data and international CDTnet collaborations.
The successful candidate will combine quantitative training with programming in Python, C++, or MATLAB, and work within an
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PhD Fellowship: 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.
