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Field
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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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the following areas: - Structural engineering - Computational mechanics, including the Finite Element Method and structural dynamics Desirable qualifications In-depth knowledge in the following areas: - Have been
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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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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. 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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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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signal analysis Computational acoustics methods such as finite element, boundary element analysis or other computational methods development Flow excitation mechanisms such as gust response and turbulent
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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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, fatigue, lifetime analysis, adhesives, interfaces, and power materials, though other relevant specialisms will also be considered. A strong background in computational methods, including finite element
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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