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Deadline: All year round How to apply: uom.link/pgr-apply-2425 How many positions: 1 Open to: UK students This 3.5-year PhD project is fully funded by The University of Manchester and the funding is
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dynamic team of leading experts in large-area electronics and have access to state-of-the-art facilities within the Henry Royce Institute at the University of Manchester. Applicants should have, or expect
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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transformer designs. Applicants should have, or expect to achieve, first class honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Applicants must
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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. The PhD position will be based within the Department of Materials, Department of Chemical Engineering and University of Manchester-Harwell campus. This will facilitate research activities with the national
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AFM facilities at The University of Manchester and X-ray scattering at Diamond Light Source. At the University of Manchester, we pride ourselves on our commitment to fairness, inclusion and respect in
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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? During the PhD, the student is expected to interact with academics across different departments from the University of Manchester, e.g. Offshore Renewable Energy Group, the Hydrodynamics Lab, as