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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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developing new research methodologies • contributing to the development of new theories • analysing qualitative and/or quantitative data, reviewing refining as appropriate
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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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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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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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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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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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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition