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advanced modelling approaches—such as finite element analysis —to capture the nonlinear, multi-physics nature of soft materials. By integrating experimental data and validating simulations, your work will
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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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in a finite element code. Study the different dynamic regimes depending on the model parameters. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo
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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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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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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