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.