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PhD Studentship: From Anatomy to Risk: Fast Digital Twins for LAA Thrombosis Risk in Atrial Fibrillation

UCL
United Kingdom

Summary

PhD Position in computational cardiovascular biomechanics: develop ML-accelerated, parametric FSI models to predict left atrial appendage haemodynamics and thrombosis risk in atrial fibrillation. Build fast ML surrogates for real-time, anatomy-aware AF risk stratification; 4-year funded studentship.

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