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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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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
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bioinformatics. The Department's research strengths currently lie in behaviour and neuroscience, conservation science, ecology and all aspects of evolutionary biology. How to apply for sponsorship Please address
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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics
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of working with industrial partners F4. Experience in supervising student laboratory projects F5. Skills in using bioinformatics tools Any further enquiries on this post may be directed to Professor Anna
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be ideally be proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and
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communication skills. Desirable Criteria Experience Strong publication record in peer-reviewed journals, commensurate with stage of career. Experience in bioinformatics and high-throughput sequencing data
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communication skills. Desirable Criteria Experience Strong publication record in peer-reviewed journals, commensurate with stage of career. Experience in bioinformatics and high-throughput sequencing data
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running in nanoflow for untargeted peptidomics and proteomics analyses. This system is used to generate proteomics and peptidomics datasets that are searched with the PEAKS Bioinformatics software package
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running in nanoflow for untargeted peptidomics and proteomics analyses. This system is used to generate proteomics and peptidomics datasets that are searched with the PEAKS Bioinformatics software package