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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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early childhood. Our goal is to improve the understanding of adaptive mechanisms employed by different gut bacteria at a high resolution to guide next generation microbiota aided therapies. About the
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-cohort and perturbation datasets, the work aims to uncover isoform-level regulatory mechanisms and guide the development of next-generation RNA therapeutics with improved specificity and reduced off-target
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immune responses and harness these for therapy. The overall aim of the Engblom lab is to uncover fundamental mechanisms of B and T cell-related immune responses in cancer to identify new avenues