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environments, such as slow strain rate tests (SSRT) and permeation experiments. Develop and validate a numerical model for simulating hydrogen diffusion as a function of the additively manufactured
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models to simulate mobility scenarios, assess policy interventions, and guide sustainable transport strategies. Redesigning Urban mobility in 15 minutes context – Designing a systems approach and AI
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manufacture, to enable quantitative imaging. Your research will include a mix of computational and experimental work to develop and characterise these instruments. Monte Carlo simulations (using GEANT4) will
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This project aims to develop a digital twin of the human stomach that integrates first-principles mathematical modelling with machine learning. The model will simulate the complex mechanics
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reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions that may
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behaviour and rheology of lubricants • Develop new simulation methodologies to predict equilibrium and rheology of lubricants in oil. • Use experimental data from Infineum Ltd. to refine models and develop
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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through Model-Based Systems Engineering (MBSE) and multi-fidelity simulations. Use experimental and computational approaches to improve fuel system confidence and reliability. Support the aviation
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exciting opportunities for knowledge exchange and networking with world leading ocean scientists. For example, you will help linking the observational data to new model simulations being developed
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contaminant transport modeling & environmental risk assessment. Numerical simulation techniques for hydrogeological systems. Advanced uncertainty quantification for robust modeling. Scientific communication