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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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recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-10051. To apply, please upload a current CV, complete the online application form, and use
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opportunities this role presents, we also offer great benefits; visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. This appointment is subject to UCL Terms and Conditions of Service
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, b) computational modelling, or c) machine learning. This is a complex project managing longitudinal data from a range of sources. Therefore, thoroughness and attention to detail while managing
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environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
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: https://www.ucl.ac.uk/bartlett/energy/research/shipping and www.shippingandoceans.com UCL is part of a consortium of eight universities leading on the maritime component of TransiT, a new UK research hub
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collocates Hawkes (formerly CMIC), UCL’s AI Centre (AIC), and UCL’s Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI
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bronchoscopy lists. The candidate will also work within the Lungs for Living Research Centre within UCL Respiratory facilitating research in the early diagnosis of lung cancer. This post is available from
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https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information The UCL Ways of Working supports colleagues to be successful and happy at UCL through
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-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk