262 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Sheffield
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'. For further information about the project please contact the supervisor at martin.jackson@sheffield.ac.uk. fusion_cdt Funding Notes Students will receive a 4-year studentship including home tuition fees, UKRI
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creative approaches to problem-solving. Essential Application/Interview Further Information Grade Grade 7 Salary £38,784 to £41,064 Work arrangement Full-time Duration March/April 2026 until January 2027
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the subsequent quality of the parts produced. Ultimately this information will be used to produce a thermal model of the process, to help develop specific guidance for future component and/or equipment design
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foundational training in fusion engineering as part of the cohort, and supported to complete a portfolio to support CEng status. For more information about the CDT programme please visit www.fusion-engineering
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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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-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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, 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