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Digital Education. If you're passionate about leveraging digital technology to enhance learning experiences and eager to gain professional experience in a dynamic environment, we invite you to join us as a
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well as Machine Learning (ML) tools — to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have experience working in Data
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Stewards from UCL ARC). Convert pre-processed data into features suitable for computational statistics and machine learning analyses of neurodegenerative disease progression. The salary range for this post
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programme. Details of research projects currently being undertaken can be seen at: https://www.crick.ac.uk/vivian-li/ . Key Responsibilities In this project, some of the specific aims include but are not
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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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December 2028 in the first instance. For a full job description and to apply for this role 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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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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on 23rd February at 23:59 What we offer As well as the exciting opportunities this role presents, we also offer some great benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out
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/work-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
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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