351 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Oxford in United Kingdom
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research and education by collaborating on sound financial strategy to provide long-term resources, underpinned by excellent operational and professional services. For more information please visit: https
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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits For informal enquiries about the post, please contact Ellie Tzima – ellie.tzima
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be released for a secondment before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (BST) on Tuesday 7 April 2026 can be considered
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to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk
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contribute to monitoring performance through reporting and analysis. You will also represent the Museum professionally in trade contexts, including promotional activity and trade events, and share learning and
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at the CNCB, which shares responsibility for the running and maintenance of the facility. More information about the Goodwin lab can be found at: https://www.cncb.ox.ac.uk/the-science/research-groups/goodwin
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application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https
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Microbiology (MMM) Unit at the John Radcliffe Hospital in Oxford. (https://www.expmedndm.ox.ac.uk/mmm). The postholder will lead on developing and undertaking workflows to phenotypically characterise bacterial