21 computer-programmer-"https:"-"Prof"-"https:"-"https:"-"CUBO" PhD positions at The University of Manchester
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before the deadline. Computational haemodynamic modelling provides a powerful framework for linking blood flow dynamics with cardiovascular disease, using in silico approaches to systematically study flow
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programme. Home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. Nucleophilic aromatic
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Characterize the molecular basis of enzyme function with spectroscopic, kinetic, and structural techniques. About the programme Join experts in industry and academia working to sustainably manufacture
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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undertake an interdisciplinary programme combining polymer synthesis, materials characterisation, rheology and mechanical testing, and in vitro drug release studies, supported by quantitative analysis and
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to decentralized systems, AI, cyber security, cryptography, or mathematics. Outstanding candidates with a Bachelor’s degree from a four-year undergraduate program are also encouraged to apply. Paper publication is
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instruments, large-scale datasets, and an international research community. Training on neutron scattering techniques will be provided. The project is ideal for students who are interested in computational
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Application deadline: 31/05/2026 Research theme: Catalysis, Synthesis, Chemistry How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805...
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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workflows and contribute to building UK capability in an important advanced reactor area. The ideal candidate will enjoy computational modelling and quantitative problem‑solving, with a strong foundation in