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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical
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Project Link: PhD Studentship in Artificial Intelligence in Medical Imaging and Diagnostics | Project Opportunities | PhD | University of Leeds Eligibility: UK/International Funding: School of
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
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industry involvement from General Electric Healthcare and Alliance Medical Ltd, whose imaging network covers 38 sites across England. Background: Lung cancer is one of the deadliest cancers, and PET scans
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learning patterns in unlabelled medical images and then leveraging them for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images
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techniques, data analysis with desirable knowledge of material characterisation, rheology and imaging. Scientific interest, dedication to research and career goal to work in physical science research
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these challenges. Similarly, peer-led workshops challenging appearance culture can enhance body image in teenagers and students. The current project partners with the charity Reach to track young adults with ULD as
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vivo imaging, histology, western and ELISA. You will also be required to be available when organs become available. Significant practical experience in NMP and knowledge of in vivo modelling would be a
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We are looking for a motivated and dynamic research assistant to join Dr Dan Ma’s lab at Aston Medical School on a two-year Academy of Medical Sciences-funded project focused on neurodegeneration