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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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, statistical genetics, genomics, genetic epidemiology, and bioinformatics as well as in-depth knowledge of genomics and relevant software. The candidate will be required to demonstrate relevant research and
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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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proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
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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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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
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techniques for antigen and antibody detection. A good understanding of bioinformatic and biostatistical approaches to data analysis and of TCR and antibody characterisation to be used for T cell engineering