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(PDEs). Our goal is to design finite-dimensional controllers that are not only straightforward to implement but also robust against real-world imperfections, including system disturbances, measurement
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://www.ctcms.nist.gov/oof/ . Opportunities exist in image analysis, materials science, physics, and computer science. key words Computation; Finite element modeling; Microstructures; Eligibility citizenship Open to U.S
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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