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universities. Experience in effective student mentoring. Dedication to ensuring a respectful, equitable and inclusive work environment. Experience with finite element analysis and design optimization preferred
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; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates
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designing for the complete product life-cycle. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer-Aided Design (CAD), and Manufacturing (CAM) are introduced in
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, press/shrink fits, reliability and uncertainty analysis, failure theories, fatigue, and fracture mechanics. Computational methods of analysis, such as finite elements analysis are covered as well
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failure modes is maintained. The project will investigate how one can utilize project specific material data (e.g. stress-strain curves for representative batches) and nonlinear finite element methods
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 4 days ago
and motivated postdoctoral research fellow with expertise in numerical analysis, numerical scientific computing (including high performance scientific computing), and finite element numerical methods
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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code based on Modified Newtonian aerodynamics and a coupled, nonlinear thermo-structural finite element solver. Supervisors: Professor Matthew Santer, Dr. Paul Bruce. Learning opportunities: You will
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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design and fabrication workflows, finite element simulation, solid/fluid mechanics, and concrete durability in marine environments. Previous experience in either experimental, computational, and parametric