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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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to demonstrate expertise in use, processing, manipulation and compression of raw camera data. Key duties for the role are to conduct in depth research into AI based automotive perception and relationship and
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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national meetings. Quality Assurance and Protocol Development: Gain experience in quality assurance processes and protocol development to ensure accurate imaging results and effective clinical utilization
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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in the future without them changing during observation. This project will use extensive mathematical processing of large sparse datasets, both simulated and experimental, to reconstruct image details
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments
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standardization of ultrasound and elastography imaging protocols. Conduct image processing, segmentation, and quantitative analysis Contribute to reliability and validation studies related to imaging methodologies