Bone Fluid Flow: Numerical
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Association Bernard Gregory seeks a PhD candidate to investigate fluid flow in bone lacuno-canalicular networks using a combination of experimental characterization, computational homogenization, machine learning and numerical modeling.
The research will focus on vascular flow during mechanical loading, estimating LCN permeability, and building a numerical twin to predict pressure and velocity in bone tissue. Collaboration with a multidisciplinary team is expected.
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Créteil, Île-de-France Association Bernard Gregory Temps plein 20 000 € - 27 000 € ContratNumerical and Experimental Investigation of Fluid Flow in the Bone Lacuno-Canalicular Network 27/08/2026 Autre financement public Numerical and Experimental Investigation of Fluid Flow in the Bone Lacuno-Canalicular Network Bone fluid flow, Simulation, Machine Learning Context Bone is a porous, multiscale biological material in which fluid flow plays an...