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Field
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of developing novel computational frameworks that seamlessly integrate machine learning techniques with established methods in computational mechanics, such as the Phase-field Finite Element Methods. Potential
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Will: Implement state-of-the-art and beyond-state-of-the-art friction models into a finite-element-based, elasto-hydrodynamic modeling tool in a high-performance computing environment Apply elasto
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, including sensor integration and data communication An interest in, and relevant competencies in any or more of the following: finite element analysis, mechanical design and fabrication, mechanical/vibration
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) experience and demonstrated proficiency (SolidWorks preferred). Finite-element analysis (FEA) experience and demonstrated proficiency (e.g., Ansys or equivalent). Gas dynamical modeling expertise (e.g., using
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walls reinforced with iron-based shape memory alloys (Fe-SMAs). The PhD project aims to develop a nonlinear finite element modeling framework to simulate the mechanical bond behavior between 3D printed
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with benefits. Qualifications 3 or more years Mechanical design experience focused on cost and manufacturability (Required) Experience in finite element analysis and mechanical simulation (Required
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of how thin a metal sheet current technology can cut and handle. Previous experience / requirements: Skills in mechanics of materials (design and data analysis in mechanical testing), Modelling and
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-based micro-finite element (microFE) models of the mouse alveolar bone can be used to evaluate accurately the bone stiffness, bone strength and local deformation, as compared against state-of-the-art
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with practical finite element analysis using ANSYS Workbench Excellent written and oral skills and proficient with MS Office and MS Excel. Preferred Knowledge, Skills, and Abilities: An MS degree
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. This course focuses on machine applications, component analysis, load analysis, free body diagrams, analytical modeling, finite element analysis, failure modes, stress concentrations, failure theories, machine