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Field
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, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data including bioinformatic data and epidemiological data
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. Experience in spatial or single-cell transcriptomics and bioinformatics or high throughput screening is highly desirable. The successful candidate will join a research group within the BHF Centre of Research
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of biological sciences and/or bioinformatics. Experience in bioinformatic analyses of complex datasets. and/or Experience of in vitro cell culture & Experience in various techniques such as RNA extraction
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biology; molecular pharmacology; toxicology and bioinformatics across several courses. You will have a minimum of a first degree in a related discipline and either a doctoral level qualification in a
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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including bioinformatic data and epidemiological data including Avon Longitudinal Study of Children of the Nineties (ALSPAC), UK Biobank and other publicly available datasets You will be part of thriving
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spectroscopy, expertise in the use of bioinformatics tools (such as Geneious, R, Pipebio, or development of new computational pipelines for data analysis) and experience of aseptic technique particularly
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. The candidate should have experience in tissue culture, cell biology and data analysis and a keen interest in vascular research. Experience in spatial or single-cell transcriptomics and bioinformatics or high
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the James Hutton Institute. There are currently around 50 members of the department, undertaking research in bioinformatics, geoinformatics, soil science, community planning, policy options appraisal, risk
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology