2 x POSTDOCS IN MULTIMODAL FOUNDATION/GENERATIVE MODELS FOR IN SILICO TRIALS - University of Manchester - Closing Soon

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Alejandro Frangi

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Mar 10, 2024, 12:24:56 PM3/10/24

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RESEARCH (POSTDOC) ASSOCIATE IN MULTIMODAL FOUNDATION MODELS AND GENERATIVE AI FOR IN-SILICO TRIALS OF CARDIOVASCULAR DEVICES

Department of Computer Science, The University of Manchester, United Kingdom

We are seeking two ambitious and proactive research associates to be part of a multidisciplinary team that focuses on image-based multiphysics modeling of cardiovascular fluid dynamics and device-tissue interactions. The successful candidate will utilize clinical and experimental data to pioneer novel generative AI and geometric deep-learning approaches to create synthetic virtual patient cohorts from multimodal data. This role involves developing advanced algorithms and high-throughput workflows for crafting virtual populations and simulation-ready computational anatomy models, integrating tissue microstructure properties where relevant. The role requires applying innovative techniques to large, real-world multimodal datasets, including clinical trials and population imaging studies.