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consumer education. The post requires 2 days on site per week in either Park End Street, Oxford (where the post is based) or London (to collect data at the funding company). The remaining 3 days can be home
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. The research requires experience in high vacuum systems, laser, molecular beams and laser desorption sources, charged particle beams and optics, velocity-map imaging detection, and the associated data processing
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techniques, and biological data analysis. You will have highly effective verbal and written communication skills with all level of staff staff and an ability to operate effectively in a demanding and busy
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blood samples for ex vivo and in vitro assays, with relevant specialist knowledge and experience designing, executing, and analysing data from single-cell & spatial RNA/TCR-seq experiments. Applications
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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work on the PANGEA-HIV project, analysing viral sequence data to assess how effective broadly neutralising antibodies may be against current HIV strains in Southern Africa. Second, you'll support early
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qualitative and quantitative data from children and/or parents/caregivers is essential, as is relevant experience in clinical research and/or clinical skills in working with children and/or parents/caregivers
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socioeconomic inequality. DIVREP involves three broad objectives: (1) assembling data on childbearing age and fertility levels, and estimating novel indicators of variation in reproduction for over 120 countries
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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model and data biases; (2) build and evaluate XAI tools for external auditing and red-teaming; (3) generate predictive explanations without accessing model internal; (4) providing insight into model