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Field
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict
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RAP opportunity at National Institute of Standards and Technology NIST Finite Element and Crystal Plasticity Modeling for the Development of Lightweighting Materials Location Material
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Expertise in numerical methods (finite element, finite differences, finite volumes) Expertise in programming (Python, Fortran, R, Matlab) Expertise in geogrpahic infomation systems (QGIS) Expertise in LaTeX
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Structural Integrity Finite Element Analyses of Formula I Composite Panels for Safer and Lighter Designs School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L
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Simulating Composite Fracture by the Extended Finite Element Method School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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to the refinement and application of inverse finite element (FE) modeling for multiscale mechanical characterization of cartilage. Integrate in vitro, in silico, and in vivo data into a coherent, multi-scale
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involves use of finite element simulations, collaboration with experimental researchers, and integration with FAIR data and AI principles. The research scientist will utilize existing computational and
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in excessive waste, frequent tooling maintenance, and high carbon emissions. The EcoTray project aims to develop a validated, high-resolution finite element simulation framework that integrates
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emissions. The EcoTray project aims to develop a validated, high-resolution finite element simulation framework that integrates experimentally calibrated material models and tribological behavior for recycled