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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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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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/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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of the post will involve synthesis and manufacture of prototype viral vectors, as well as testing their ability to treat experimental disease models, in vivo and in vitro. Other The advert will close on 05
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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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(negative stain & cryo-EM). High-resolution data collection and image processing. Candidates will have hands-on experience in these areas and a passion for molecular biology and imaging. About you The
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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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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied
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the resulting datasets Disseminate the findings through publications, conference presentations, and public engagement Essential Criteria Qualifications PhD in psychology or neuroscience Research & Skills Research