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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 5 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications
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of seismo-acoustic wave propagation in 2 coastal environments with different environment properties, by relying on HPC and a full-wave method (spectral-element method) implemented in the SPECFEM3D code
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element method. Proficient in python
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develop phase-field and finite element models and work closely with experimental efforts at KAUST. Research areas include: Phase-field modeling of fracture Multiphysics coupling Finite element methods
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field Strong expertise in composite materials, their deformation and failure, and finite element modelling relevant to aerospace or impact applications Experience with high‑rate experimental methods
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, or a related field • Strong expertise in composite materials, their deformation and failure, and finite element modelling relevant to aerospace or impact applications • Experience with high‑rate
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postdoctoral researcher, you will develop, implement, and analyze cardiac growth and remodeling models in finite element frameworks for cardiac mechanics. Your work will focus on bio-chemo-mechanical and
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/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an advantage: Experience with