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About us This post is within the School of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD students. Circa 40 administrative and...
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About us Queen Mary is one of London and the UK’s leading research-focused universities. With over 20,000 students, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the...
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sustainable engineering. SEMS provides a collaborative research environment, advanced computing facilities, and strong links with academia and industry. The role contributes to an international project
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, to deliver the aims of the programme. The PDRA will join a team working on extracellular vesicles as well as other aspects of inflammation resolution, with close attention to the exploit this science for
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at the William Harvey Research Institute (WHRI, Queen Mary University of London, QMUL), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and
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at the William Harvey Research Institute (WHRI , Queen Mary University of London, QMUL ), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and
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for Health and Care Research (NIHR). The aim of this project is to build an instrument, leveraging statistical and machine learning techniques, to allow surgeons to examine the sentinel lymph nodes during
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI
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access to cutting-edge field and laboratory facilities including a high performance geospatial computing suite, UAV sensing platforms including LiDAR, thermal and multispectral imaging, and GNSS surveying
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or