13 master-"https:" "https:" "https:" "https:" "Dr" "St" PhD positions at Imperial College London
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environmentally-friendly hydraulics. The aim of this project is to improve the understanding and the ability of designing aqueous lubricants based on polymer solutions in water. The main objectives are to study the
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London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ For information on how to apply, go to: http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply
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of multifunctional testing standards is critically hindering the advance of this field. The main objective of this PhD is to address this gap through the development of a ‘universal’ coupon that permits simultaneous
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, please contact Dr Jun Jiang at jun.jiang@imperial.ac.uk . Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical
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have the opportunity to interact with experts in turbulence and machine learning across the department, such as Prof. Luca Magri or Dr. Andrea Novoa. Duration: 3.5 years. Funding: Full coverage
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-supervised by Dr Adria Junyent-Ferre and Professor Tim Green, and will work with engineers from the MVDC Technology team at GE Vernova. The candidate will spend time at Imperial as well as in GE Vernova's
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Supervisors: Professor Victoria Cornelius, Dr Hadith Rastad, Dr Tim Rawson About the role Sequential Multiple Assignment Randomised Trials (SMARTs) are increasingly used to evaluate multistage
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As the aerospace sector pushes the boundaries of aircraft performance – and sustainable operations – with highly flexible primary structures (such as high-aspect-ratio and morphing wings
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. Funding: Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. Find out more about fee status at: https://www.imperial.ac.uk/study/pg/fees-and
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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