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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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to revolutionise nanotechnology by combining organic chemistry and polymer science to create materials that respond and adapt to their surroundings. This PhD project focuses on Ostwald ripening, a fundamental
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. Throughout the PhD, the candidate’s career aspirations will be well-supported. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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, approaches and methodologies. Company engagement is an integral part of the programme with built-in internships alongside entrepreneurship training. The PhD programme in Machine Learning Systems positions
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, Mathematics. Excellent English written and spoken communication skills. It is desirable that candidates possess expertise in some (but not all, or even most) of the following areas: Microbiology, Bacteriology
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how long such disturbances last and, critically, how they affect local and regional flood risk. This PhD project will explore how riverbeds in large tropical systems respond to the pressures of sand
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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A fully funded 3.5-year PhD studentship (UK home fees only) is available in the group of Dr Jamie Lewis at the University of Birmingham in the area of synthetic supramolecular chemistry. The project