17 computational-physics "https:" "https:" "https:" "https:" "Ulster University" research jobs at University of Sheffield
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clinical utility. The study is funded by the Engineering and Physical Sciences Council (EPSRC), UK. This is a full-time role that involves a collaboration between the biophotonics group of Professor Stephen
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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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Information Grade 6 Salary £32,080 - £33,951 (pro rata) Work arrangement Part-time - 50% Duration 1/5/2026 - 30/6/29 Line manager Project Principal Investigator Direct reports N/A Our website https
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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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contribution Work arrangement Full-time (flexible-options considered) Duration 1st May 2026 - 31st Oct 2026 Line manager Research Fellow in Water Systems Microbiology Direct reports None Our website https
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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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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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in any element of the recruitment process, you can contact the Computer Science Recruitment Team at COM-Recruitment@sheffield.ac.uk Our vision and strategic plan We are the University of Sheffield
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust