215 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oxford
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uncertainty. This post is fixed-term and part time (20hours per week) until 30 September 2026 You will hold a relevant Bachelors or Master’s degree in statistics, computer science, information engineering, or
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information and advice to other group members and contribute to the preparation of scientific reports and journal articles. You will also occasionally present papers and posters. About You • You must hold PhD
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where information or research material is restricted • Contribute to the design of research materials and make arrangements for data gathering • Gather, analyse, and present
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data records, routine weekly cleaning of the lab and clean room, whilst overseeing consumable and reagent stock control and equipment maintenance. A degree in a biomedical, biological or biotechnological
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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literature reviews, writing up the results for publication in peer-reviewed journals, and gathering, analysing and presenting data from a variety of sources. The ideal candidate must hold a first degree
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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 an effective Supporting Statement. To discuss
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, training, and dissemination. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university and how to apply
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plasticity would be useful but not essential as training will be provided. Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton @eng.ox.ac.uk) For more information about working at
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be