647 post-doc-image-engineering-computer-vision Postdoctoral positions in United Kingdom
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-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the School of Biomedical Engineering & Imaging Sciences, King’s College
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patients with aortic stenosis pre- and post-surgery. The post-holder will have a background in engineering, computing and / or image data analysis or equivalent and will be based in Leeds to support advanced
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of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative
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that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for
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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking to appoint a Postdoctoral Researcher in Biomedical Image Analysis to join the
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world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance. About The Role This is a Fixed Term post for 12 months working
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computing clusters.The project team spans Northumbria University and the Federal University of Rio de Janeiro. You will work alongside academics, post‑docs, PhD students and industrial engineers in a vibrant
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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay