616 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "J" positions at University of Sheffield
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. Main duties and responsibilities Plan and undertake the research and development vital to achieve project aims, with the guidance of senior colleagues. Continuously monitor and check progress against
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work closely with module leads and programme teams to ensure the effective delivery, assessment and evaluation of taught modules. You will contribute to curriculum delivery by preparing high-quality
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support to users and managing a backlog of requests Essential Application/interview Driven and focused to meet tight deadlines, plan and prioritise a varied workload, organise resources, manage complex
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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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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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Take primary responsibility for an agreed program of research, in collaboration with other members of the team. To generate new hypotheses and design appropriate experiments to achieve the objectives
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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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. Next steps in the recruitment process The selection process will consist of an interview and test, which is currently planned for 5th May 2026. We plan to let candidates know if they have progressed
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by the Course Directors and various course committees. Plan and prioritise own daily work, forward plan teaching, and be responsive to team member needs/support. Carry out other roles as allocated by
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. The PhD programme will address research challenges including: • Generalisation vs specialisation: How to learn common physical behaviour across different gas turbine engine types while adapting efficiently