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PhD in Medical Robotics, Visual Computing, Machine Learning, AI, Medical Imaging, Image Guided Intervention or a closely related discipline, or equivalent research, industrial or commercial experience
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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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. Strong expertise in advanced confocal and/or light sheet imaging. Strong expertise in quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and experience in using
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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data and build high resolution 3d maps of proteins in tissues. They will draw on a range of technical approaches including artificial intelligence, computer vision, image processing, and data reduction
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming