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Applications are invited for a fully funded fixed-term at the Research Assistant / Associate (PostDoc) level in high performance computing for computational fluid dynamics applications. High
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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behaviour of so-called yield stress fluids, which keep their shape like solids at low loads, yet flow like a liquid at larger loads. One possible focus could be on the dynamical process whereby a material in
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interests include flow of soft materials, non-equilibrium dynamics, dynamics of soft glasses, statistical physics of yielding, shear thickening of dense suspensions, phase behaviour, self-assembly, fluid
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probabilistic forecasting, with the potential for policy relevance. Applicants should have (or be close to obtaining) a PhD in climate science, climate modelling, geophysical fluid dynamics, or a closely related
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment
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: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment (e.g. Python, Fortran, Matlab, C