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Applications are invited for 3.5-year fully funded PhD studentship based in the Department of Chemical Engineering & Biotechnology, University of Cambridge and industry partner Swift Solar
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engineering, biomedical engineering, mechanical engineering, or a related subject. Applicants with relevant research experience, gained through Master's study or while working, are strongly encouraged to apply
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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
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Biochemistry. Available project: Julien Prudent and Michal Minczuk Investigating how mitochondrial dynamics control mtDNA homeostasis and engineering tools to visualise mtDNA molecules Full details are available
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the mechanism of entrapment of two different gases carbon dioxide and hydrogen. The development of carbon dioxide entrapment methods in rocks (more often referred to as a carbon sequestration technology) is more
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equivalent degree in a relevant discipline such as chemical engineering, engineering, chemistry or physics. To be considered for this studentship, applicants must submit a formal application for admission
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, researchers, academics and industrial partners. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree, preferably at masters level, in Engineering or a related subject. EPSRC
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death. To overcome this barrier, a major research theme of our group is the use of novel machine perfusion technology for the enzymatic conversion of blood group A and B kidneys to O-type. This work has
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to develop a new material with current methods. We need to innovate faster, as the pace of global change accelerates. This is where you come in…… We are seeking graduate scientists and engineers keen to