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instance. About you The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis using large-scale administrative and cohort data. Further particulars
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analyse large scale job application data from employers using quantitative methods. Findings from the analysis will be written up in a project report, separate reports to employers, and in academic journal
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/drc/ ). About the role The role will contribute to on-going research at the UCL Hawkes Institute to develop advances in computational modelling of neurodegenerative disease, machine learning, and big
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of inherited neuromuscular diseases in a large and diverse research cohort. In addition to your research project, you will attend regular clinical meetings to discuss clinical and genetic results. You will also
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immunotherapies for childhood brain tumours. The successful applicant will join an existing team of researchers with a focus in this area. The successful candidate will initiate a large barcoding initiative and
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clinical data from large cohort studies on immune-mediated inflammatory diseases including psoriasis and rheumatoid arthritis. The PDRA will lead on research across all three objectives, taking first
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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feasibility, site set up, site training, safety and clinical reviewing activities. NeoSep1 is a large global pragmatic trial comparing commonly used antibiotics with novel combination regimens for the empiric
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of the shipping system, shipping big data, and social science analysis of the policy and commercial structure of the shipping system. The research group’s multi-disciplinary work is underpinned by
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environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL