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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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. Assets (Nonessential): Experience with FEA (Finite Element Analysis) and CFD (Computational Fluid Dynamics). Excellent skills with Solidworks, Inventor, and/or Siemens NX, or other solid modelling software
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or thesis project with high grades) in computational material mechanics Documented experience (education/courses or thesis project with high grades) in advanced concepts of the finite element method
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, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics, which are utilized
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by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and
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software, and applying computational methods and analysis tools, including finite element analysis (FEA), to optimise designs. Providing leadership and supervision to engineering staff, ensuring research
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. Develop analytical and finite element (FE) models to investigate the extent and sources of nonlinear behaviour in LGSs. 3. Develop novel control strategies to stabilise LGS shape, orbit & attitude