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based on observed dynamics, and to link these processes to evolutionary dynamics. To this end, we plan to adapt multivariate autoregressive models for density-class data, whilst paying particular
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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