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Field
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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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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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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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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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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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. Ability to perform finite element simulations using software such as COMSOL, ANSYS, or ABAQUS. Experience in utilizing these tools for in-depth analysis is highly desirable. Required License/Registration
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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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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant