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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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to interpret genetic data is desirable, as is, knowledge of protocols for human tissue analysis by long read DNA analysis and RNA transcriptome analysis. This role meets the eligibility requirements for a
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-data analysis to shed new light on the biological mechanisms that drive diseases like Alzheimer’s disease and other causes of dementia: when and where it starts; how it spreads over the brain
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biopharmaceutical formulations. The postholder will lead on technical development of optical systems, asso ciated data analysis, and integration into high-throughput experimental workflows to accelerate process
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an interest in the mechanisms that may link social media use to mental health outcomes in young people. The successful candidate will have strong data analysis skills and experience of writing up research
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applicant should have a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will
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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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Investigator (PI) to develop the research design, data collection, data analysis, and dissemination and publication of the project’s research. The two Fellows will each be focused on distinct parts