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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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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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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
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experimental methods to improve them, alongside developing new approaches to enhance these properties. External environmental factors, such as humidity, pressure, and temperature, will also be key variables
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an
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computational platform with numerical implementation of an ECTM model and Bayesian approach within a Python-based machine learning tool. About HetSys The EPSRC Centre for Doctoral Training in Modelling
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influenced by its unique thermodynamic properties and the low flow off design performance. The design methods and multi-phase models would be validated by experiments on lab scale components. This position is