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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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not mandatory, but a high-quality publication is helpful to strengthen an application, particularly for overseas candidates seeking studentship funding at the University of Manchester. To apply, please
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Newcastle University Supervisors Selma Guerreiro (Newcastle University) Elizabeth Lewis (University of Manchester) Anna Murgatroyd (Newcastle University) Richard Blackwell (United Utilities, Water Resources
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selection and policy decisions to minimize environmental impacts, resource consumption, and long-term radiological risks. This research involves a cooperation between TalTech and the University of Manchester
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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, through specific experimental arrangements during the PhD project. This PhD is fully funded by the University of Manchester as part of their commitment to support a recently successful BBSRC-Arxada award
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class is a collection of models that includes the random growth of a surface over time or the behaviour of a large number of particles that move around in space and interact with each other according
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Prof. Michael Brockhurst at University of Manchester, together with lead investigators Prof Dylan Childs at the University of Sheffield, Profs Steve Paterson and Joanne Fothergill at the University
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models