11 engineering-computation "https:" "https:" "https:" "https:" "UNIV" "UNIV" research jobs at University of Sheffield
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this highly interdisciplinary team, comprising engineering and medical academics, including device design engineers from Sheffield’s world-leading Advanced Manufacturing Research Centre (https
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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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to multi-parameter datasets used to interpret microbial behaviour in engineered systems. As part of our research team, there will be opportunities to assist with field-sampling activities and engage with
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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2026 - 31st August 2027 Line manager Research Fellow Direct reports N/A Our website https://sheffield.ac.uk/mps For informal enquiries about this job contact Cheuk Yu Mak, Research Fellow on C.Mak
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international, interdisciplinary team. Applicants should hold a good honours degree (or equivalent) in computer science, engineering, or a related field, with strong programming skills in Python and familiarity
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& multidisciplinary research programme focusing on evidence generation to further methodology research and to enable the design & development of in-vitro diagnostics and medical devices for patients and the NHS. NIHR
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will play a central role in supporting key policy priorities for the Department for Science, Innovation and Technology (DSIT), the government department responsible for the AI Opportunities Action Plan