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-processing Mentor and work closely with multiple Ph.D. and M.S. students as well as four principal investigators from different disciplines. Frequent oral and written reporting will be required. Outstanding
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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one of the following areas is required: Numerical methods for large-scale, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and
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. Required Experience: 5-6 years of knowledge of both traditional and evolving structural design, analyses and optimization methods; VB scripting in Catia GSD, Ansys Python and APDL; linear and nonlinear FEA
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require delicate tuning of multiple parameters, which often need to be performed manually. For each specific HCF design, an optimized fabrication process can take many iterations. Therefore