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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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on how genome merging alters gene expression, subgenome contributions, and epigenetic regulation over evolutionary time and under stress conditions. You will perform controlled glasshouse experiments with
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