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to the proposed profile (0-60 points): Experience in 3D multiphysics finite element modelling. Experience in image processing. Experience in mesh morphing for personalized medicine. Experience in data analysis and
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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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science, or other closely related disciplines. Also, you should have experience in at least one of the following: • Finite element analysis • Multi-physics modelling
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of finite element analysis and materials modelling Applicants with a good 2.1 degree are also encouraged to apply if they can demonstrate an excellent background in mechanics and/or modelling. Application
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science, or other closely related disciplines. Also, you should have experience in at least one of the following: Finite element analysis Multi-physics modelling Phase field modelling Battery technology
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Adjunct Assistant Professor Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (25005247) We are seeking an Adjunct Assistant Professor to co-teach Finite Element Modeling
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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of brain health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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forming composite fibres into 3D-shaped component parts. High quality numerical analysis is a crucial part of the process of understanding and predicting high quality manufacture of composite structures