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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
simulation (such as bonded particle) and Eulerian (such as finite element) methods can be used. Proposals should acknowledge the benefits and limits of their technique compared to others. Part of the proposal
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finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
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expertise in finite element simulation and poro-elastic media modeling. Skills in identification, biomechanics, and homogenization are a plus. Website for additional job details https://emploi.cnrs.fr/Offres
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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-source computational tools in a project that aims to create life-saving technology to prevent devastating skull fractures in elderly populations. This unique position combines advanced finite element
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modelling (molecular dynamics, finite element modelling of the battery…). The post-doc candidate will have the opportunity to collaborate with all the members of the LabCom. Where to apply Website https
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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; - Characterizing blister dimensions using AFM and SEM, as well as the strain transferred to 2D materials using spectroscopy (Raman); - Implementing analytical and numerical (finite-element) approaches to analyze
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deformation microscopy, high-field MRI, clinical MRI, PET-MRI, and molecular read-outs. •Applying inverse finite element modeling (FE modeling) for the multiscale mechanical characterization of cartilage