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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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(variational multiscale, multiscale finite elements, etc.), structure preserving numerical methods, stochastic optimization, analysis of machine learning methodologies, multilevel methods, scale-bridging and
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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained Certified copies of other diplomas, list of completed academic
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in computational mechanics and a strong background in solid mechanics and the finite element method. Candidates should have a demonstrated experience in teaching undergraduate and/or graduate courses
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of both mechanical systems and components. The emphasis is on designing for the complete product life-cycle. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer
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: including experimental design, data acquisition, and signal analysis Computational acoustics methods such as finite element, boundary element analysis or other computational methods development Flow
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Computational acoustics methods such as finite element, boundary element analysis or other computational methods development Flow excitation mechanisms such as gust response and turbulent boundary layer