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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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science, or other closely related disciplines. Also, you should have experience in at least one of the following: Finite element analysis Multi-physics modelling Phase field modelling Battery technology
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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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of experimental data - Molecular Dynamics and Finite Element calculations. . Metallic nanoparticles (NPs) exhibit unique physico-chemical properties departing from those of bulk materials, primarily due
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the 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
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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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expertise in the analysis and design of concrete structures. Advanced proficiency in Finite Element Modelling (FEM) using tools such as Abaqus, ANSYS, RFEM, SAP2000, MIDAS or equivalent. Solid understanding
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving