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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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(e.g., finite element or wave propagation simulations) for defect detection and materials analysis Integrate AI, machine learning, and robotics into NDE and manufacturing processes for automation and
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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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sizing, and relief device sizing. Experience withpractical finite element analysis using ANSYS Workbench or Comsol, and pipe stress analysis programs such as CAESAR-II, CAEPIPE, AUTOPIPE, WINPIPE, ROHR2
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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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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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. Topics in parametric design and design optimization using Finite Element Analysis (FEA), Computer-Aided Design (CAD), and Manufacturing (CAM) are introduced in the classroom and online and then reinforced
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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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of structural steel components and nonlinear analysis of steel systems, with emphasis on seismic effects - Experience with OpenSees and/or other high-fidelity finite element software; proficiency in