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colleagues to understand the stress distribution at the bone-implant interface through finite element analysis. Work collaboratively with other colleagues to validate finite element models based on in situ
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Postdoctoral Research Associate, Materials Science and Engineering Posting Number req24050 Department Materials Science & Engr Department Website Link https://mse.engineering.arizona.edu/ Location Main Campus
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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encompasses various in silico modeling techniques to cover the multiple spatial scales, i.e. from molecular detailed to multicellular high-level regulatory networks, up to tissue level finite element models
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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
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 excavation and
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techniques. Classify and characterise microstructural defects during the machining process, with a view to devising tooling and parameter modifications. Carry out analytical modelling and finite element
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systems. Knowledge of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge
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superfluidity of a mesoscopic Tonks-Girardeau gas [3] PRA 91, 063619 (2015) - Dynamic structure factor and drag force in a one-dimensional strongly interacting Bose gas at finite temperature Where to apply
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indicate that modeling the hydrodynamic permeability of the packed equiaxed grain zone is a key element that must be improved. Simple constitutive laws, of the Kozeny–Carman type, are currently used to model