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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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modeling and simulation (e.g., finite element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload
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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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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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, mechanical CAD, PCB design tools, and finite element electromagnetic analysis software. Experience creating engineering documents, reports, and technical publications, including drawings, procedures, and
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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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fundamental, and expert knowledge of CAD and finite element design is absolutely needed (preferably Creo Parametric and Ansys). A strong understanding of accelerator systems or similar complex, large-scale
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and hardware. Preferred Qualifications: Experience with solid modeling and finite element analysis codes as it relates to electromagnetic interactions of coil assemblies, the modeling of cryogenic
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calculations. Experience with reactor system codes such as RELAP5 or other CFD experience. Experience with finite element codes such as COMSOL or ANSYS. Preferred Qualifications: Experience in a research and
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background in computational methods, including finite element analysis and other advanced modelling techniques, would be advantageous. The successful candidate will be expected to deliver research-informed