🚀 Expert in Scientific ML? Join us at The University of Manchester!
Are you passionate about scientific computing and physics-informed machine learning? We're looking for an ambitious Post-doctoral Research Associate to lead groundbreaking research in cardiovascular biomechanics. This is your chance to work at the forefront of computational modelling and simulation, contributing to the UKRI Horizon Europe Guarantee and ERC Advanced Grant INSILICO programme.
🔍 What We Offer: - Collaborate with world-class researchers in a vibrant, interdisciplinary environment. - Tackle real-world challenges in cardiovascular fluid dynamics and device interactions. - Develop high-fidelity models and accelerate in-silico trials. - Be part of a team that bridges cutting-edge research with impactful applications in healthcare.
🌟 Ideal Candidate: - Expertise in Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). - Experience with incorporating multi-physics priors in deep learning architectures. - Strong skills in Python, C/C++, or MATLAB for computational science.
Ready to make a difference? Apply now and be part of a transformative journey in healthcare innovation!
Submit Your Application: https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=30204