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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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analysis. The engineering targets identified using computational approaches by the successful applicant will be validated in crop plants by other members of the consortium. This is an exciting collaborative
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establish routine cell surface proteome analysis using subcellular fractionation techniques, such as density gradient centrifugation and surface biotinylation followed by enrichment, to explore the surface
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in mass spectroscopy, expertise in the use of bioinformatics tools (such as Geneious, R, Pipebio, or development of new computational pipelines for data analysis) and experience of aseptic technique
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experience of using R or python for data manipulation and statistical analysis (if python then must also learn R) and can prioritise workload. This is a full time, fixed term post (part time considered) for 1
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critical element in the successful delivery of the new strategy. The School has therefore been investing in growing their Development & Alumni Relations team, including the creation of this senior role
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biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding and
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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work
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of a research project, and experience of acquisition and analysis of clinical and cognitive data in healthy elderly and clinical samples. You should have excellent organisational and communication skills
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able