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Position Summary: Applications are invited for a PhD studentship, to be undertaken as part of the project “System Services in 100% Renewable Grids” at Imperial College London (Electrical and
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Description Specifics of position: This position is funded by the joint PhD program between Imperial College London (ICL) and Centre national de la recherche scientifique (CNRS), therefore the candidate will
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together
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sustainable and circular value chain in the automotive sector. We are looking to recruit two outstanding Home PhD students as part of this new collaboration between JLR and Imperial College London, with
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environments. In recent years Imperial College London have made several breakthroughs in understanding the physics of turbulent/turbulent entrainment and we now seek to apply these to the important problem
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consortium of Arizona State University, University of Adelaide, University of Toronto, and within the UK, Universities Cranfield, Birmingham, Cambridge, Imperial College London, and Newcastle. The HyPT will
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this YouTube video: https://youtu.be/EVbX5d7OqzM To find out more about research at Imperial College London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ https
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materials science. The student will be jointly supervised by Dr Juhan Matthias Kahk and Prof. Marco Kirm (University of Tartu, Estonia) and Prof. Johannes Lischner (Imperial College, London). The studentship
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to present their findings at major international conferences and submit publications to refereed journals. Applicants should have a strong background in aerospace engineering or physics. The applicants should
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privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models