54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at The University of Manchester
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19 Jan 2026 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD
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or search our funding database for specific scholarships, studentships and awards you may be eligible for. To apply, apply at the link: https://uom.link/pgr-apply-2425 . If you need further information
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Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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on high-fidelity modelling and test data for both metals and thermo-set composite materials. To achieve this we will explore the use of advanced genetic algorithms and/or Artificial Intelligence (AI
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guest exchange (J. Am. Chem. Soc. 2025, 147, 17201 https://doi.org/10.1021/jacs.5c02868 ). It is the aim of this project to use this novel methodology to investigate a range of single crystal-to-single
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Application deadline: 15/05/2026 Research theme: Biocatalysis How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) and overseas students. The successful
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good data analysis skills in R. The candidate will need to be able to collaborate closely with other researchers but also be able to drive their own research questions. Applicants must hold, or be about
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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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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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, and data-driven analysis. The project will be supported by a strong research environment with experience in concrete behaviour at elevated temperatures, constitutive modelling, and advanced numerical