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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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or equivalent in a relevant subject area (physiology/neuroscience/neural engineering/physics) or near to completion of a PhD, and be experienced in a variety of quantitative research methodologies
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Science Institute and the Nano and Micro scale research Centre. You should have or working towards a PhD in Engineering, optics or physics. Knowledge or experience on the use of Spectra Physics tsunami
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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Cancer Centre based in the Biodiscovery Institute. We are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during
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are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons
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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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genome-wide profiling of DNA, providing a true picture of DNA methylation complexity in IPF. Integration with spatial gene expression will provide an indication of the distinct functional relevance of DNA