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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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Novel Nanoswimmers - exploring novel routes to propulsion at the nanoscale. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse, Dr Stephen
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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, University of London in August 2024. As a PhD candidate, you'll become an integral part of the School of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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solutions. You will study the collaboration and coordination processes that enable successful technology development across international partnerships. This research combines hands-on engagement with advanced
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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timely and quality deliverables. Co-supervision of MSc and Final Year Project students involved in this project. Job Requirements: Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer
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: Conduct cutting-edge research in biomedical engineering with a focus on either: Intelligent medical systems (AI/imaging/sensors) Biomedical instrumentation & embedded solutions Teach one or more core