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Field
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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are formed in bone-conduction. We perform intracochlear measurements of sound pressures and vibrations in human cadaveric ears. We develop circuit network models and finite element models to assist data
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undergraduate and graduate students. Essential Functions Engineering design and structural analysis, sizing calculations, finite element modelling, and official engineering documentation in support of various
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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
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on performance and funding availability) to develop finite element stress change models that evaluate the impact of interseismic, coseismic and postseismic deformation following sequences of large earthquakes
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finite element analysis, finite difference schemes, or Monte Carlo simulations. Mentoring Assist in mentoring graduate and undergraduate students in related projects. Collaborate with faculty and students
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publications; disseminate study results and research findings in journals and conferences. Perform advanced computational modeling using finite difference and discrete element modeling programs. Perform advanced
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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standards. Working knowledge of structural finite element modeling programs (STADD, GT STRUDL, etc.) Familiar with the following DOE order and standards: DOE O 420.1C – Facility Safety DOE-STD-1020 – Natural
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) experience and demonstrated proficiency (SolidWorks preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys or equivalent). Gas dynamical modeling expertise (e.g., using