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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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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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) and modeling. Experience with OpenFOAM or other finite-element heat transfer codes About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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astrophysics, and uses a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral
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current, relevant industry experience. Proficient communication and computer skills are a must. The ideal candidate will possess some or all of the following skill sets: Basic Finite Element Analysis
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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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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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relevant data generation, analysis, and pre-/post-processing. Knowledge of principles and techniques in computational mechanics and mechanics of materials, with a focus on finite element analysis of large
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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