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of R or Python), along with writing, presentation and communication abilities. Prior experience working with computing clusters or remote servers is desirable. The fund would be available from 1st
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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. The Astronomy Unit includes a lively exoplanet/planet formation community, including the groups of Dr. T. Haworth, Dr. E. Gillen and Prof. R. Nelson. About Queen Mary At Queen Mary University of London, we
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package such as Stata/R. A commitment to multi-disciplinary and collaborative working is also essential. The ideal candidate would have experience using electronic health records for pharmacoepidemiologic
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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research or industry experience will also be considered. Good statistical and analytical skills are necessary, ideally with the ability to work in R and experience with bioinformatic tools/software. Coding
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package such as Stata/R. A commitment to multi-disciplinary and collaborative working is also essential. The ideal candidate would have experience using electronic health records for pharmacoepidemiologic
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of yourself and your team Ability to work independently but also as part of a team Desirable criteria MSc in Immunology Experience with GraphPad Prism and/or R Authorship contribution(s) to peer-reviewed
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global