We are looking for an ambitious Research Associate who is passionate about generative AI, synthetic data, and in-silico trials to join our multidisciplinary team. You will work with colleagues who are experts in cutting-edge image-based multiphysics modelling of cardiovascular fluid dynamics and device-tissue interactions.
You will work with clinical and experimental data to develop innovative geometric deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows for crafting simulation-ready computational anatomy models, incorporating tissue microstructure properties.
This is an exciting opportunity to apply your expertise to large-scale real-world datasets, including clinical trials and population imaging studies, and make a transformative impact in computational modelling and healthcare innovation.
Keywords: Generative AI, synthetic data, in-silico trials, virtual patient cohorts, geometric deep learning, computational anatomy, cardiovascular modelling, multimodal datasets.

Please refer the Job description for details