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or post- transcriptomic mechanisms of plant plastic response to stress using wild Arabidopsis thaliana ecotypes as a model. The successful candidate will have the opportunity to work on a cutting-edge
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imaging, mathematical modelling, and functional genomics, receiving experimentally testable predictions generated by state-of-the-art predictive models. These predictions will be rigorously validated using
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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