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contributing to the development of next-generation water management technologies. The role will initially focus on real-time control modelling and performance optimization of wetland systems, with potential
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modelling, discrete choice modelling, designing choice experiments and machine-learning methods to address sustainable transport and mobility challenges. We’re offering this role as a hybrid position as part
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. This will be achieved using as a model the most intensively studied ecosystem on the planet: the human gut microbiome. The Fellowship program will deliver new tools for integrated meta-omic analysis, a
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and the general public. The successful candidate will join this exciting project to lead the bioinformatic characterisation of microbiome samples from Defence cohorts and preclinical models. This will