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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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industry worldwide, as well as with research experts in manufacturing at the School of Mechanical, Aerospace and Civil Engineering. You will be employed by the University of Sheffield but based at Cutting
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this using in vivo two-photon calcium imaging, confocal microscopy, stochastic genetic labelling of single neurons, and detailed analysis of neuronal morphology. You will design, develop and perform
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engineering solutions for healthcare applications, involving the processing, integration, and analysis of diverse data sources. Picture healthcare as a jigsaw puzzle where every piece tells part of your story
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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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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research programme is to use genetic, molecular and cellular, and imaging/image analysis approaches to understand the development and function of the vertebrate inner ear, the organ of hearing and balance
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labelling and chemical shift imaging with support of existing team members. You will set up real-time image processing to high quality data collection. The opportunity for bold, discovery science is how
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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. Johnson Matthey, a FTSE 250 organisation, is a global leader in sustainable technologies specialising in catalysis, precious metal products, chemicals and process technology. With operations in over 30