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focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in
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manage the project to ensure the delivery of project milestones, coordinating tasks, monitoring progress, and maintaining accountability to funding and partner expectations. About you a PhD in soil or
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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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