434 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at University of Oxford
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using examples of your skills and experience. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university
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the ability to interpret and present complex information to a wide range of audiences. The ability to analyse and interpret large volumes of complex information, extract relevant facts and make consistent and
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that the Department’s financial position is closely monitored and that timely, accurate management information and analysis is provided to senior management, budget holders, and internal/external stakeholders. You will
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be
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and timeline. Once operational, you will oversee initial flow characterisation and data analysis, contribute to the implementation of advanced experimental techniques, and support experiments across
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research projects • Analysing complex data and generating original research ideas • Publishing in high‑impact journals and presenting at international conferences • Contributing to group strategy, funding
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successful applicants between colleges for the scholarship to be taken up. This scholarship is not open to applications from candidates who hold deferred offers for 2026-27. For more information, visit the
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. Forklift experience and a clean driving licence would also be considered beneficial. Additional Information The successful candidate will be required to undertake University safety training and to comply
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reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
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thematic areas- Start Well, Live Well, Age Well- along with five cross cutting themes: digital; health tech and data; community, social, and home care; knowledge mobilisation, implementation, and