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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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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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discipline (e.g. epidemiology, statistics, health data science) or equivalent experience • Large and longitudinal administrative dataset data management and curation (e.g. Hospital Episodes Statistics
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responsible for programme management, overseeing project delivery. Third they will contribute to the data collection, analysis and dissemination of mixed methods research activities within the study. Starting
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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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relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc. About the role The post-holder
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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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world leading research, specifically to conduct a big data study funded by the Royal Osteoporosis Society. The postholder will analyse data using the target trial emulation approach and contribute
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related field. You have experience working with time-use surveys and a solid understanding of quantitative research methods. You are comfortable working with large datasets and using statistical software
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research. This Bioinformatician position is directly linked to the multi-year 4M enhancement to the C-GULL study. The key challenge in the role will be in managing and analysing large-scale gut microbiome