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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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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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contributing to publications. Experience in high content imaging, immunohistochemistry, W-blot, PCR, bulk and/or single cell RNAseq and in generating and analysing ‘omics data would be desirable. Diversity
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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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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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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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Natalia Ares (email: natalia.ares@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only applications received before midday on the 14th October
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DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent