33 affective-computing-"https:"-"https:"-"https:"-"UCL" PhD positions at The University of Manchester
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Application deadline: All year round Research theme: Computational Mechanics/Applied Mathematics How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty
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in the groups of Dr Florence Hardy and Prof Anthony Green, University of Manchester, as part of the cross-institutional BioAID Doctoral Training Programme, including world-leading experts from Queen's
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compounds often has a profound impact on their physicochemical properties and biological activity. In collaboration with colleagues at AstraZeneca, we will design novel homologation strategies for use in drug
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of the Ministry of Defence whose goal is to maximise the impact of science and technology for the defence and security of the UK. The project will involve working in collaboration with expert DSTL scientists, with
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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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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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
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Research theme: Computational magnetism How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible