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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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to: i) lead the design and creation of an experimental setup to examine fluid-structure interactions between 3D-printed models of deep sea sponges and ii) lead the formulation and analysis of finite
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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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, viscoelastic, and damage-informed formulations) under complex thermo-mechanical loading. Implementing and validating models using computational tools (e.g., numerical solvers, finite element frameworks
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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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apparatuses, free space and fiber optics, precision interferometry, quantum optics, analog and digital controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming
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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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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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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