268 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Sheffield
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and applications, responding to queries, collaborating closely with other Professional Service teams, contributing to the smooth set-up of successful research applications and maintaining data in
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the PI with the project, including undertaking a detailed literature review and supporting qualitative data generation and analysis. Main duties and responsibilities The Research Associate will provide
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with a team of staff, stakeholders and colleagues Essential Application/Interview Effective communication skills, both written and verbal, report writing skills and with experience of manipulating data
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-quality documentation. Essential Application/ interview Experience of working with confidential and sensitive information with discretion and professionalism. Essential Application/ interview High level of
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development. Interested? Apply Now! For more information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk. Ready to take the next step? Visit PhD study | MAC | The University of Sheffield
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Ability to organise, plan and progress research activities Essential Application/Interview Willingness to tackle unfamiliar tasks and develop new skills Essential Application/Interview Further Information
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environment. Desirable Application Further Information Grade Grade 4 Salary £25,249 - £26,707 per annum (pro rata) Work arrangement Part-time (80%) Duration 1 April 2026 - 24 December 2026 Line manager
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, personalised treatments, and systematic evidence verification. This is a complex information integration problem, where clinicians must analyse vast, heterogeneous, and fragmented clinical knowledge. Clinical
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Digital and sensor based conformance validation for large scale forged components (C4-AMR-Crawforth)
intermediary data streams that can offer insight into how the component and manufacturing process is performing. Within both of the fields of forging and machining there are numerous industry-ready low-intrusive
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managed together. The challenge is to develop modelling approaches that can be applied across populations of structures. Instead of building a bespoke model for each asset, information can be intelligently