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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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, including government, industry and the academic community and will contribute to: Acquisition of, and development of, processing workflows for satellite image and other geospatial data, including calibration
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of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but
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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical and teaching work. BMEIS is a cutting-edge research and teaching
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candidate will support the delivery of the 2-year MSc in Diagnostic Radiography and MSc Radiation Therapy programmes and teach and coordinate elements of the postgraduate MSc in Medical Imaging and Radiation
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of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences (BMEIS), where their duties will include academic, clinical and teaching work. BMEIS is a cutting-edge research and teaching
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/imaging scientists, programmers, and biomedical engineers) to integrate developed algorithms into software for the larger research community as well as into the clinical workflow for prospective validation