689 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Linköping University" positions at University of Sheffield
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. The project will leverage existing city stock models from the BuildZero research programme to make city level analysis viable. This project will be co-supervised by Dave Cheshire from AECOM, who has been
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, their simplifying assumptions limit accuracy when dealing with modern reactor design and complex safety scenarios. Conversely, high-fidelity Computational Fluid Dynamics (CFD) offers immense detail but remains
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. This will consist of an Interview. We plan to let candidates know if they have progressed to the selection stage in April 2026. If you need any support, equipment or adjustments to enable you to participate
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at b.manesh@sheffield.ac.uk or on 01244 735920 Next steps in the recruitment process It is anticipated that the selection process will take place in April 2026. This will consist of an INTERVIEW. We plan
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the closing date. This will consist of an interview which will include a research presentation. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date
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an alumni communications and engagement plan, to motivate alumni to support the work of the School and wider University, meeting the needs of different graduate populations to support the School's priorities
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Organic quantum batteries: the development of high-performance energy storage devices (S3.5-MPS-Lidzey)
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Digitalising populations of structural systems using machine learning (S3.5-MAC-Dardeno)
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline: Applications accepted all year round Details This PhD project focuses on using topological data...
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plant. The expected outcome is reproducible and robust production of up to 1kg. This will derisk commercialisation and help plan future manufacturing. The appointed researcher will lead the scale-up