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of bioinformatic data, specifically, analysing genomic datasets including: whole-genome, exome and targeted DNA sequencing; RNA-seq; single cell RNA seq, and integrating datasets with those available through public
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to hold a PhD in Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject. It is essential that you have experience in the analysis of single-cell RNA-seq
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level. This is an exciting opportunity to undertake research in several cutting edge in vivo cardiovascular techniques and in vitro techniques including RNA, metabolomic and bioenergetics in primary and
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RNA-Seq and multi-omics data analysis; immune repertoire analysis; spatial transcriptomics/proteomics and image analysis; and development of new computational methods and models for spatial data
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Immunology, Bioinformatics, Statistics, Mathematics, Computer Science or other related computational subject, have experience in the analysis of single-cell RNA-seq data (e.g. generated using 10X Genomics
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, highlighting its commitment to promoting women in Science, Engineering and Technology. Cell cultured meat, bioreactors, biomaterials for cell immobilisation, SimCells, Engineering biology
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Time (37.5 hours per week) About the role We are seeking to appoint a Postdoctoral Research Associate to join the lab of Dr Lidia Vasilieva to investigate the role of phosphorylation in RNA polymerase II
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research project and contribute to the overall research programme and lab management. The research project will involve a wide range of molecular biology and biochemical techniques, including RNA work
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in DNA (and where appropriate, RNA) replication; • Develop, establish, and pursue appropriate analytical protocols and techniques to support the research and maintain accurate records
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limited to relevant undergraduate activities), cell culture techniques, basic molecular biology e.g PCR/qPCR, DNA/RNA isolation, Western blot, microscopy are essential. As are the ability to learn and