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leading group in high-order methods: a class of finite element methods that is now leading the way for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral
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micro-electro-mechanical device (MEMS) dedicated to the manipulation and measurement of micro-samples, the coupled gripper-sample modelling using numerical analysis and finite element methods, and the
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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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certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming
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learning methods, featuring regularizing terms involving differential equations, suitably discretized using finite element schemes. Particular care will be devote to be implementation of the proposed methods
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he will assess different finite element schemes for the accurate and efficient solution to the estimation problem. The candidate will also explore numerical/statistical approaches for the uncertainty
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simulations progress, whilst preserving the geometric representation of the project. You will work within a leading group in high-order methods: a class of finite element methods that is now leading the way
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simulations progress, whilst preserving the geometric representation of the project. You will work within a leading group in high-order methods: a class of finite element methods that is now leading the way
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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. Analyze the proposed and optimized solutions. Write reports. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research FieldEngineering