Join our dynamic, multidisciplinary team as a Research Associate and make a transformative impact in scientific machine learning and digital twins for healthcare innovation! This role focuses on developing high-fidelity cardiovascular models, simulating fluid dynamics, and exploring device-flow and device-tissue interactions through cutting-edge multi-physics and physiological modelling.
You will leverage clinical and experimental datasets, apply physics-based simulations, and harness the power of scientific machine learning, including data assimilation and uncertainty quantification. Additionally, you’ll work with large-scale multimodal datasets, clinical trials data, and population imaging studies to drive innovation in personalised medicine and in silico trials.
If you’re passionate about pushing the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life!

Please refer the Job description for details