12 finite-element-analysis positions at Oak Ridge National Laboratory in United States
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designing, maintaining, and troubleshooting high-power electronics and magnetics, using standard lab test equipment. Proficiency in circuit simulation, mechanical CAD, PCB design tools, and finite element
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methods. Additionally, you will develop/refine finite element and numerical analysis models to portray shear strength response as a function of temperature, and to attempt to ultimately reconcile those
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analysis for practical nuclear applications. Proficient with CAD and finite element analysis codes such as ANSYS, ABAQUS, and/or SolidWorks and experience simulating static linear, thermal, or nuclear
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finite element electromagnetic analysis software. Experience creating engineering documents, reports, and technical publications, including drawings, procedures, and specifications. Familiarity with AC
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analysis, with an emphasis on: Mesh generation Steady and unsteady flows Sensitivity studies Validation activities Expertise in computational modeling, including numerical analysis, finite element methods
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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/high-temperature interfaces using CAD software. Complex Structural Analysis: Oversee and perform rigorous Finite Element Analysis (FEA) and analytical calculations to verify the structural integrity of pressure
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, or similar modeling software is highly valued. Experience with Finite Element Analysis (FEA) tools is highly valued. Knowledge of welding processes is a plus. Fundamental knowledge of Geometric Dimensioning
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. Experience designing pipe supports and equipment following AISC or EN code guidelines. Experience with piping design (ASME B31.3 and/or EN equivalent). Finite element modeling using ANSYS. For employment
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, C++, Julia, or similar) for engineering analysis, process modeling, data analytics, and automation. Experience with finite element analysis (FEA), process simulation, digital twins, machine learning