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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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, including EHR data curation and extraction at scale. The project is part of the Scientific AI Flagship at Human Technopole, and you will be embedded within the Jug Group. In this role, you will work in a
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of artificial intelligence, multi-omics data integration, and functional genomics, aimed at predicting synthetic lethality in cancer - including representation learning, nonlinear embeddings, and predictive
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