PhD position - GPU-accelerated parallel training of physics-aware neural networks for blood flow prediction within the HDS-LEE graduate school

Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries.