19 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:"-"Dr" positions at The University of Manchester
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the measurement-science foundation, calibrated datasets, specialist support in data science and uncertainty, and host the student for an extended placement with facilities and training. Mansim will provide
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Application deadline: 31/03/2026 Research theme: Biocatalysis and Protein Engineering Centre for Sustainable Synthesis – BioProcess How to apply: https://www.mib.manchester.ac.uk/research/centres
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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reusable plaque–flow atlas. Key objectives include to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric
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in porous geological formations. The successful candidate will develop and implement computational models, validate them against experimental or field data where available, and contribute to the design
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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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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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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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skills training provided by a mixture of industry and academic project partners covering structural biology; biophysical and analytical methods; computational modelling; directed evolution; process