589 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" uni jobs at University of Sheffield
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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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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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. 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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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
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Develop and deliver a communications plan to engage the network’s target audiences, including researchers, clinicians, people with dementia, carers, and supporting organisations. Create and distribute a
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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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complex molecules. This will be achieved through developing a method to prepare new boron-containing heterocycles, across a diverse but programmable region of chemical space. These molecules can act as