174 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at University of Nottingham
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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If you are looking for the first or next step in your career, this is an exciting opportunity to join Registry and Academic Affairs, and we look forward to hearing from you. Further information
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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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, 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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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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Accuracy when handling finance or numerical data High-level IT skills Excellent planning, organisation, and communication skills Applications are particularly welcomed from candidates with experience
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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