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progression modelling and AI, that sits within the UCL Hawkes Institute — a leading hub of medical image computing and interventional science involving well over 100 scientists and academics. About the role
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Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering
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funded by the Medical Research Council until 31 December 2026 in the first instance. For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl
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Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering UCL Mechanical Engineering has been pioneering the development of engineering
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(https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09810. To apply, please upload a current CV, complete the online application form, and use the supporting
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addressed to Professor Gabriele Lignani (g.lignani at ucl.ac.uk). For a full job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using
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, Grade 8. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. You can read more about our commitment to Equality, Diversity and Inclusion here https://www.ucl.ac.uk
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical technology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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. To take a lead in “opening new sites” by establishing data flow pathways from end user systems to the imaging archive. Please note that only Grade 7 level is eligible for UCL sponsorship. About you The