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). Salary progression beyond this scale is subject to performance. Closing Date: Wednesday 24 April 2024 Reference: SCI084224 In this project we are developing AI-powered imaging techniques to help improve
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Translational Magnetic Resonance (MR) Physics within the MR & Precision Imaging (MR&PI) theme of the NIHR Nottingham BRC. The Research Fellow will lead and deliver individual and collaborative research projects
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for the above post based at the Medical School, Queens Medical Centre We are seeking a highly motivated person who will join the established team led by Prof Dorothee Auer (NIHR Nottingham BRC Imaging theme lead
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subjects for computer vision, individuals may look very similar, but may exhibit large variation in how effectively they grow. The Delivering Sustainable Wheat programme is a co-ordinated and collaborative
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during embryonic development. The successful candidate will be a modeller who will perform image analysis and develop multi-scale cell-based computational models of tissues during gastrulation in bilaminar
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(or near to completion of your PhD in a relevant computational domain). Skills in computer programming (especially Python or C++ or Matlab) and image processing/analysis are important. Experience in methods
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relevant experience in common data transmission interface protocols and data management. Masters in solar energy engineering or computer science, or mathematics or image processing or a related quantitative
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Gastrointestinal MRI Research Group at the University of Nottingham. The successful applicant will join our multi-disciplinary research environment and learn a variety of MRI imaging and cutting-edge data analysis
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at interview. Applicants should hold a PhD or be about to complete a PhD in solar energy engineering, computer science, mathematics, image processing, or a related quantitative field. Programming
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opportunity to work in an intradisciplinary team involving imaging and diabetes healthcare specialists. The applicant will be primarily responsible for recruiting and screening a large number of participants in