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Field
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the areas of finite element analysis, solid mechanics, and/or strength of materials. Courses may include (but are not limited to) Finite Element Analysis, Advanced Mechanics of Materials, and Strength
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component procurement. Preferred Qualifications: MS or PhD degree in mechanical or nuclear engineering, or a related field. Design and deployment of cryogenic systems, including data gathering, analysis, and
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emerging fields. Courses will leverage expertise with computer-aided design, engineering and prototyping, Finite Element Analysis (FEA), and applications of AI and machine learning. Encouraged to develop and
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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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the muscle architecture of the larva within the generative process. We recently extracted the muscles of the Drosophila larva body from a CT-scan recording. Furthermore, we developed a finite element
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or aerospace industries 4+ years of experience in analysis of components in relation mechanical systems, including Finite Element Analysis for structural, fatigue, thermal, vibration, and acoustics 4+ years
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6. Experience with finite element analysis and modeling 7. Experience qualifying aerospace products and processes; working knowledge of US Air Force policies and procedures 8. Ability to promote
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composite material response or material signal interactions using finite element, analytical or numerical approaches. • Experience with scientific data analysis programming languages such as or Python
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using both classical and finite element methods (FEM). Review detailed part or assembly definition prior to production release. Examine structural or material discrepancies and create associated
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-mechanical processing. Some of these modeling tools include density functional theory (DFT), CALPHAD-based models, phase-field models, and finite-element models (FEM) to predict as-built microsegregation