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. The successful candidate will work in close association with teams consisting of laboratory-based and clinical researchers to deliver the project. Experience with analysis of transcriptomic data is essential. Role
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for conducting quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help
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collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
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Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems
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are also open to discussing flexible working arrangements. Are you an ambitious and talented statistician with expertise in individual participant data meta-analysis (IPDMA) of clinical trials and
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to learn about new concepts such as data analysis. Interested potential candidates are welcome to contact the Study Manager, Dr Joy McFadzean, Clinical Lecturer of Patient Safety, Division of Population
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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Drakeley and Dr Julius Hafalla, primarily focused on immunoepidemiology, as needed. The post holder will be responsible for the generation and curation of laboratory and epidemiological data from different
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Work within specified research grant Operate within area of specialism Collect and organise research data held primarily by the Bank of England Archive, while making visits to other relevant UK archives
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We have an opportunity for a Clinical Research Fellow. This 1-year role will allow a junior medical trainee to develop their research skills and produce preliminary experimental data in the field