222 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oxford
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opportunities as this is a network grant including external collaborators. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information
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act as a point of contact for the team, managing enquiries and coordinating information from a wide range of contributors. About You • Educated to A-level or equivalent professional experience
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vaccine-preventable diseases. The role involves designing and implementing novel modelling methodologies, analysing complex qualitative and quantitative data, publishing in peer-reviewed journals, and
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contribute to publications and grant applications. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the
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to Prof Daniel Eakins (daniel.eakins@eng.ox.ac.uk ). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 2nd
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work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to support a busy
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. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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shifts, proposing and undertaking new experiments, carrying out the corresponding data analysis and reporting the findings to the Accelerator Physics and Machine Development meetings. Applicants should
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational