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Field
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
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modeling and simulation (e.g., finite element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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to open-source projects on model reduction, finite element methods, data assimilation and inverse modeling. You will collaborate with researchers by exchanging ideas and technical knowledge in computational
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models using experimental data for precise mapping of real processes Conducting detailed analyses of thermomechanical stresses in electrochemical converters using the finite element method (FEM
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engineering discipline Experience and skills · Proficiency with finite element modelling and FEA software like ABAQUS Explicit or LS-DYNA · Experience in impact modelling or continuum damage
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the muscle architecture of the larva within the generative process. We recently extracted the muscles of the Drosophila larva body from a CT-scan recording. Furthermore, we developed a finite element