326 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Nottingham
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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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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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, 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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measurement. You’ll have the opportunity to learn a wide range of cutting-edge skills to enable the delivery of experiments, preparing specimens, configuring test equipment, interpreting data and assisting
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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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
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reporting relevant project information. The role is available on a fixed term basis of 6 months. Hours of work are part-time (25 hours per week, worked over 5 days Mon-Fri) This role is based at the Clinical
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on tasks whilst being able to escalate when appropriate. The ideal candidate will also have experience in monitoring financial budgets, minute taking, and research project administration. Further information
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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