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these extreme events across a series of complex flows. This will entail performing high-fidelity simulations of a range of flows exhibiting extreme events, developing hybrid physics-based/machine learning
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cumulus clouds, these entrainment processes are intermittent. Secondly, the interaction between the cloud turbulence and cloud droplets is intermittent due to the high Reynolds number of the cloud
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, reproducibility and clinical impact of SMARTs. Existing resources tend to present methods at a high level and are not tailored to the practical needs of applied trial statisticians. This aim of this PhD will be
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characteristics similar to those achieved with the best performing conventional lubricants. We will be adopting our modern experimental techniques, which include very high shear rate viscometry, film thickness
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short duration intense heat spikes. This will require the incorporation of nonlinear temperature dependence, creep and relaxation simulation capabilities. Supervisors: Professor Matthew Santer, Dr. Paul
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. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical studies of aluminium precipitate evolution
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advance to study coupling between functions, such as the effect of mechanical damage on electrochemical performance. This position is in the Structural Power Composites Group at Imperial College London
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plastics. Advanced characterisation techniques will be used to obtain fundamental understanding on the working mechanisms of these thickeners. This will enable design of sustainable grease whose performance
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Location: South Kensington, London About the role: We are recruiting a postgraduate researcher to undertake a PhD project on the technology and protection of multi-terminal MVDC distribution systems. The work will analyse short-circuits and other fault scenarios in medium-power distribution...