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general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities will include: Pursue research on finite element methods
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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related field (e.g., Engineering Mechanics). Strong background in continuum mechanics and constitutive modeling of solids. Demonstrated experience with finite element methods, including model development
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Education & Experience: PhD Must be competent to model rail buckling, rail fracture, and failure of track structure due to moisture sorption using advanced finite element methods. Also, must be competent
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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, computer science, or a closely related field. Coding experience for the computational modeling of physical and/or engineered systems, preferably with finite-element methods, is a must. Strong programming
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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