25 data-science-"https:"-"https:"-"https:" PhD positions at The University of Manchester
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and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its
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opportunity to undertake industrially linked research in partnership with Rolls-Royce (RR) at the RR University Technology Centre (UTC) in Electrical Systems at the University of Manchester(UoM). The UTC
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linked research in partnership with Rolls-Royce (RR) at the RR University Technology Centre (UTC) in Electrical Systems at University of Manchester(UoM). The UTC researches a wide range of underpinning
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University Technology Centre (UTC) in Electrical Systems at the University of Manchester. The UTC researches a wide range of underpinning electrical technologies for applications in future gas-turbine engines
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will develop nanoscale devices which use magnons (collective excitations in magnetic order) as information carriers for ultra-efficient, compact, brain-inspired computing. This project is positioned
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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resilience in complex and dynamic environments. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering
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Research theme: Biocatalysis, Bioorganic Chemistry How to apply: uom.link/pgr-apply-2425 This 4-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are
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Research theme: Applied physics, applied chemistry, applied materials How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded by the Doctoral Landscape Award; students who
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-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering