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quantitative proteomic data with a degree of statistical rigour using common freely available software packages; proficiency in handling large datasets including bioinformatics and biostatistics; and knowledge
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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sequencing library preparation is desirable. Previous computational experience is not essential, as training and support in bioinformatic and single-cell data analysis will be provided. The position would
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established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
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therapeutic approaches to target resistance evolution. About You You will have a PhD, or be nearing completion of one, in biology, bioinformatics, computational biology, genomics, or a relevant field, or
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from vaccination, natural infection, and controlled human infection studies. The Postdoctoral Research Scientist in Computational Biology will apply established and emerging bioinformatics, statistical
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Candidates should hold a PhD (or be close to completion) in microbiology, molecular biology, cell biology, infection biology, bioinformatics or another relevant biological discipline. You should have
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About the Role We are seeking a talented and motivated Postdoctoral Research Assistant to lead the bioinformatics framework for a high-impact project. You will analyse existing spatial
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, bioinformatics, statistics, or genomics. Previous experience working with insect vectors is not essential and we would encourage all researchers interested in harnessing the power of genomics, and big data
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proteomics, metabolomics, analytical chemistry, biochemistry, systems biology, bioinformatics or a related discipline. Relevant experience in mass-spectrometry-based omics, quantitative data analysis and