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workshops to enhance the collaborative network. Applicants should have a postagraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in bioinformatics, computational biology or
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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a subject relevant to the project is essential. This is an integrative project and relevant subject areas include computational biology, bioinformatics, physics, statistics, computer science and
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within Prof Kat Holt’s team to investigate transmission of Klebsiella pneumoniae in neonatal units in Africa using bioinformatics and genomic epidemiology. The successful applicant will lead the analysis
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for the position should have a PhD (or be close to completion) in molecular and/or evolutionary biology, with significant experience in epigenetics general molecular biology techniques and/or bioinformatics. A track
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quality research publications. About You The successful candidate will have PhD degree in bioinformatics, or significant post-doctoral experience with single-cell machine-learning methodologies. In
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bioinformatics skills. These will be used to investigate oxidative modification of proteins and changes in protein phosphorylation in model systems of disease. Additional skills in protein biochemistry and