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to understand and develop a practical, method‑by‑method guideline that support statisticians in the design and analysis choices of SMART trial. This includes: Approaches to sample size calculation and design
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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carried out under the UK Hypersonics Doctoral Network. This network is supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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process and interpret simulation data, develop the implementation of optimisation techniques and modelling approaches, and help identify the most receptive forcing modes in turbulent channel flow. Working
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will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
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substitute for lithium-based thickener is sorely needed. This experimental project aims to develop sustainable thickeners for grease applications. We will explore both novel materials and also recycled
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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disciplines of composite mechanics and electrochemistry, presenting compelling technical challenges and offering exciting opportunities to develop and innovate with new materials. These composites will provide
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of Medicine (DIDE-SPH), School of Public Health, at Imperial College London. We are seeking a laboratory-focused Research Assistant/Associate in Viral Genomics and Immunology to develop, optimise and implement