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Field
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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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analysis) and tumour cell injection (Desirable) Experience of using bioinformatics software and methodologies to analyze multi-omic and therapeutic datasets (e.g. R statistical environment) (Desirable
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Experience in blended teaching and learning Proficiency in advanced diagnostic techniques, molecular methods and bioinformatics Proficiency in securing external research funding Key Responsibilities Teaching
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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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testing new approaches. There may also be some expression and purification of recombinant enzymes such as methylases. There may be scope for some bioinformatic/computational analysis, but this is primarily
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or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication
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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic
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using host infections, quantitative ‘omics, molecular cell biology and bioinformatic approaches. This post is available from 1st August on a fixed term for 24 months in the first instance. Hours of work