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whole tumour while leaving in place as much healthy tissue as possible (tissue conserving surgery). This surgery is challenging because surgeons lack accurate imaging tools to assess the surgical margins
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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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at the Faculty of Engineering (FoE), University of Nottingham which conducts cutting-edge research into the development of imaging technology for biomedical applications. Vision We are seeking PhD students who
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of multiple biomedical imaging modalities, e.g., MRI and Ultrasound. Enabling multiple methods of imaging to be applied will greatly improve the level and accuracy of information gained from the imaging process
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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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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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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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addition to improving crop productivity, it has an ultra-low carbon footprint, no chemical processing, zero water footprint, zero waste, and certification for organic agriculture. Unlocking the full potential of such a
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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