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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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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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finite element modeling programs such as SCIRun, COMSOL, or similar Special Instructions to Applicants: Applications should include a CV/resume, a brief (1 page maximum) statement of their career goals
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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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