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. Experience with numerical modelling techniques (e.g., DEM, FEM), computational fluid dynamics (CFD), and/or experimental methods (e.g., X-ray radiography, TDR) is highly desirable. Successful candidates will
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frameworks like RHEOS software, FEM models and machine learning concepts for large data sets generated will be explored with collaborators. Micro and Nano Engineering This position is embedded within
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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