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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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publications Presentation skills Experience working with mouse models Knowledge of bioinformatics Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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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 bioinformatics tools for RNA sequencing data analysis. Previous and experience with RNA sequencing, including sample preparation. Downloading a copy of our Job Description Full details of the role and the skills
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by