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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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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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homologous recombination and transposition. Competency in imaging technology, such as confocal microscopy & fluorescent live cell imaging, in particular calcium imaging. Experience with measurement of neuron
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Post-Doctoral Research Fellow – 3 year FTC starting asap Closing date – 15th of December at midday GMT The Oxford Future of Finance and Technology Initiative is launching a major cutting-edge
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health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a highly multidisciplinary environment that spans fundamental discovery through
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Ellison Institute of Technology, Oxford Limited | Oxford, England | United Kingdom | about 1 month ago
About EIT The Ellison Institute of Technology is establishing a world-class R&D facility at Oxford Science Park to drive sustainable innovation in health, food security, climate change, and AI
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presentations at conferences and other events. Applicants will possess a relevant PhD, or near completion, in related field of study. The successful applicant will have in ocean engineering or offshore renewable
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We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by EPSRC and is fixed-term
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are looking for a highly motivated and enthusiastic candidate with a PhD in Physics, Chemistry, Materials Science, Engineering, Chemical Engineering or a related area. A proven track record of scientific
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models