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at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
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during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines multimodal inputs to provide personalized
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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/faculties/natural-sciences/our-research/research-groups/cognition-in-complex- environments/ and the inter-disciplinary Stirling Vision and Image Processing Special Interest Group http://vip.cs.stir.ac.uk
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collaboration with Industry to develop a prototype gas adsorption rig for CO2 capture applications. About the role The post holder will develop a prototype adsorption-based system for CO2 capture. The candidate
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at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
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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