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. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are different approaches, the most
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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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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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in public health. Key project aims: (1). Determine which chemical exposures present the greatest risk for development of metabolic disease. Using knowledge synthesis methods to evaluate existing
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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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Applications are invited to undertake a 3.5 year PhD programme to explore new laser surface engineering methods for functionalising the electrochemical performance of solid-state batteries. In
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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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) 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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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