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-making processes in relation to environmental, biodiversity and climate policies. This project will provide the first comparative empirical data on, and analysis of democratic reforms that expand
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and temporal resolution environmental exposure models experience processing environmental data with high spatial and temporal resolution to assign localised exposure, either by statistical area or
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or controlled environments, and an understanding of grain processing and grain quality. Familiarity with the Narrabri region of northern NSW would be an advantage as the appointee will be expected to conduct
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body