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Stoichiometry, Trait-Based Ecology, and the Metabolic Theory of Ecology, the project seeks to deepen our understanding of ecosystem functioning and improve its management. The PhD experience will combine
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: • Graph-based learning and community detection: Identify cohesive and antagonistic groups within signed networks. • Machine learning and network embeddings: Measure consensus, polarity, and opinion shifts
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the critical role of technical infrastructure decisions in scaling outcomes. The theory, evidence, and insights generated by our three research lines and a total of eight interrelated studies will inform and
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