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, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
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introduced in a finite element method software as Cast3M (macroscopic approach) in order to deepen the understanding of the coupled heat and mass transfer phenomena within the carbonated recycled concrete
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candidate will enjoy working on finite-element based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with
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REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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discovering research and potentially pursuing a PhD. Expected skills • Solid background in numerical methods (PDEs, finite elements, scientific computing). • Interest in modeling, model order reduction, and
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) transport; • Are familiar with chemical simulation techniques, including but not limited to density functional theory, molecular dynamics, (kinetic) Monte Carlo modeling, finite-element modeling, and multi
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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches