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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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: Additional Information on DAAD Study Scholarships in the Fields of the Performing Arts https://www.daad.de/en/studying-in-germany/scholarships/scholarship-database/information-performing-arts/">Additional
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Communication and Film. The decision is based upon the written application and artistic portfolio which have to be submitted. Details about the portfolio can be found on this website https://www.daad.de/en