13 high-performance-quantum-computing "https:" PhD positions at Imperial College London
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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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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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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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-engineering/research/ , and details of the EPSRC ADAPT‑EAF Green Steel programme are available at: https://www.imperial.ac.uk/news/266193/imperial-joins-7m-green-steel-research/
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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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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of Interest form at https://forms.office.com/e/jskWZqSQHb Shortlisted candidates will then be invited for an online interview. The successful candidate will be invited to submit a full application
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retention across the Dengue and Zika Immunology and Genomics Multi-Country Network (DeZi Network). DeZi is a new Wellcome Trust-funded programme, delivered with the World Health Organization, national
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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