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Bioinformatics), or its international equivalent. Self-motivated and passionate about conducting research in artificial intelligence (AI) and its applications in healthcare innovation. Proficient in data analytics
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receive full training in bioinformatic analysis of exome or genome sequencing. Genetic variants will be classified as benign or pathogenic using the American college of medical genetics criteria. Relevant
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expected by chance. Full bioinformatics training will be given. To confirm the pathogenicity of any identified variants, functional analysis will be undertaken. For example, rna-sequencing could be performed
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bioinformatics approaches to analyse the data. Entry Requirements: Candidates must have a first or upper second class honors degree or significant research experience. Ideally candidates should have a relevant
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these. Projects could involve field work, experimental work and/or laboratory work and would involve bioinformatic analysis of genomic data. Funding Notes Self-Funded or Students wo have secured external funding
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refine pharmacogenomic predictions using our leading expertise in ex vivo therapeutic drug screening(21). Years 2-3 will focus on bioinformatics analyses to further expand our understanding of residual
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such genes in relevant genetic mutants. These will be bioinformatically analysed to identify promising targets. We will use CRISPR/Cas9 technology that is well established in the zebrafish, transgenesis