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suit someone with a high level of organisational skills and keen to share some responsibility of looking after the laboratory, alongside their own bioinformatics work and acting as a conduit for
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reactions. We welcome applicants from diverse backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate
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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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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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competition in a coinfection, thereby becoming more virulent. This project will involve a combination of bioinformatic, genomic, transcriptomic and laboratory manipulation of the selected parasite lines
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of novel analysis approaches and the interpretation of the outputs from these analyses. The successful candidate will develop and implement bioinformatics pipelines to analyse thousands of bacterial and
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work will involve sophisticated bioinformatic analyses, including the application of machine learning techniques, to predict taxonomic, antibiotic resistance profiles and phenotypes from 'omic data. Your
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bioinformatic analyses of large datasets Presenting your work at national and international conferences Working alongside a range of cardiovascular researchers to enhance your professional development
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Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
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(e.g., SLURM). It is desirable that you hold a first degree in Genomic Medicine, Statistical Genetics, Bioinformatics, or a related quantitative discipline and have experience of independently managing a