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, while contributing to applied research with policy relevance for urban sustainability, health and climate resilience. Student profile: Some basic experience with GIS (either ArcGIS or QGIS) is required
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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