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directly underpin the development and evaluation of machine learning models for genomic anomaly detection. The role is primarily bioinformatic and genomic in nature; experience in AI and machine learning is
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, collating and linking existing data, coordinating meetings and workshops, bioinformatic analysis of data, integrating datasets, preparing regular summary reports, and taking the lead writing academic outputs
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