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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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job contact Prof Hassan Ghadbeigi, project lead: on h.ghadbeigi@sheffield.ac.uk or on 0114 222 7748 Next steps in the recruitment process Following the closing date, we will contact you by email to let
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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supervisor/s: Prof Lenny Koh and Mohamed Pourkashanian Project partner: EIC Industrial partners CDT in Green Industrial Futures: The CDT is funded by the UK Engineering and Physical Sciences Research Council