51 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at The University of Manchester
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Application deadline: 30/05/2026 How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free
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Department of Chemistry. The student will be supported by an interdisciplinary supervisory team led by Professor Elizabeth Fullam and Professor Matthew Gibson. The successful candidate will receive
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facilities. The project will be supervised by Professor Chris Hardacre and Dr Marta Falkowska, with expertise spanning heterogeneous catalysis, reaction engineering, and neutron-based characterisation. Full
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FFA on different type of metallic surfaces as a function of temperature and concentration. The modelling data and principal component analysis will be used to build property-structural relationships
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theoretical and practical skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed
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. The project is designed to be accessible to students from engineering, physical sciences, mathematics, or data science who are motivated to apply their skills to real-world energy and climate challenges
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Application deadline: All year round Research theme: Inorganic Chemistry How to apply: uom.link/pgr-apply-2425 Fully funded PhD, home tuition fees and a tax-free stipend starting at UKRI rate of
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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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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process