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environment (assessed at: application) Ability to assess and coordinate resources, plan, and progress work activities (assessed at: application) Creative problem-solving skills (assessed at: application
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. This will consist of an interview, presentation and opportunity to meet with the team. We plan to let candidates know if they have progressed to the selection stage on the week commencing 16th June 2025
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@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place shortly after the closing date. This will consist of a presentation and interview. We plan to let
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at: application/interview) Ability to assess and organise resources, and plan and progress work activities. (assessed at: application/interview) Desirable criteria Understanding of convex optimization theory
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, DGN Communications, Engagement and Impact Officer, dee.goddard@sheffield.ac.uk Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new
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: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high-energy particles with
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facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PUMaS hub will support ~20 PhD students along with research staff, creating
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. This will consist ofan interview and exercise. We plan to let candidates know if they have progressed to the selection stage within 1 week of the closing date. If you need any support, equipment
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programme grant on hybrid energy storage systems for grid-independent EV charging stations and there will be significant opportunities for the successful candidate to interact with the interdisciplinary team
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campaigns including programmed screening or Bayesian optimisation. You will characterise the resulting materials, in terms of their properties and performance for an intended application. Sustainability will