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recommendations, challenge assumptions, and embed user insights into every decision. Your will propose, design and conduct user research to collect and analyse data, helping to inform product and content design and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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capabilities, and particularly the Experimental Medicine Clinical Research Facility (EMCRF) (https://www.kennedy.ox.ac.uk/news/oxford-and-gsk-launch-experimental-medicine-collaboration). This will allow testing
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at https://www.gov.uk/check-uk-visa . Please do not hesitate to contact Grant Rae, HR Adviser (e-mail: grant.rae@abdn.ac.uk ) for further information. To apply online for this position click the 'Apply
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to a flexible working approach. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407130/research-fellow-in-… Requirements Additional Information Work Location(s) Number
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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 vacancy reference B02-10144. To apply, please upload a current
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https
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whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport . Candidate Information
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requires an Enhanced DBS check. For more information about this exciting opportunity, please contact Professor Nicola Adams at NAdams@lincoln.ac.uk You can find out more about working at Lincoln, and
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visa. For more information please visit: https://www.gov.uk/global-talent To explore the post further or for any queries you may have, please contact: Professor David Meads; email: D.Meads@leeds.ac.uk