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employment). Extensive experience in handling and analysing large-scale genomic datasets. Demonstrated experience in developing bioinformatics pipelines and computational workflows. Track record
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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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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
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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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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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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications
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. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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if: You hold a PhD in biomedical science or have equivalent experience, with expertise in molecular microbiology, statistics and bioinformatics. You may also: Have experience with cell culture