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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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. The Person Knowledge, Skills and Experience Excellent technical skills in computational fluid dynamics and/or stellar modelling that can be applied to the aims of the project described under ‘The role’ A track
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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