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taken up by 1st October 2024. Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship. Lead Supervisor’s full name & email address Dr. Wuhu Feng
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overall porosity increase and volume expansion have only been observed in unconfined cases, where reaction rates are appreciable. This PhD project will work alongside leading teams within the University
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exceptional student experience to students in a research-intensive Russell Group University? The University of Leeds is one of the top 75 universities in the world. We have a truly global community, with
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developing Generation IV nuclear reactors. With the complication of Salts chemistry and the extreme conditions to operate, the material degradation behaviour when the components are subject to mechanical
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research intensive Russell Group University? The University of Leeds is one of the top 75 universities in the world. We have a truly global community, with more than 39,000 students from 170 different
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Funding A highly competitive EPSRC Quantum Technologies Doctoral Training Partnership Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years. Training and support will also be provided. Lead Supervisor’s full name & email...
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A highly competitive EPSRC Quantum Technologies Doctoral Training Partnership Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years. Training and support will also be provided. Lead Supervisor’s full name & email address Professor...
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the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
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effective tool for providing an improved understanding of the underpinning science of precipitation processes and optimising the reactor design and safe operating conditions to produce crystals with a
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an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered. Subject Area Artificial Intelligence, Computer Vision