341 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" positions at University of Nottingham
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with sensitive and confidential information in a professional setting; and customer Service / Experience of responding to enquiries and requests from a range of service users. You will have excellent
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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sent directly to this email address will not be accepted. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. #LI-DNI #INT
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and reporting, and contribute to strategic decision‑making through high‑quality data and analysis. Working closely with academics, Faculty Operations, and central Research & Innovation teams, you will
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of research related plans, policies and processes support the collection and preparation of information and documentation for operational management and quality assurance and enhancement purposes provide high
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the link to our benefits website What next Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. The interviews will be held
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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in advanced experimental techniques, data analysis, and interdisciplinary problem solving at the interface of physics, materials science, and device-relevant functionality. Outcomes will include high
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strategy to improve the turbulence detection and quantification. The flow turbulence and velocity in a vascular flow phantom will be measured by Particle Image Velocimetry (PIV), against which MRI data will
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support a more controlled, data-informed manufacturing environment and improve structural performance across the full lifecycle of high-value engineered components. Aim The student will have opportunities