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develop innovative approaches for crop yield prediction, disease detection, and protein estimation, integrating remote sensing and modelling to translate research into practical tools for sustainable and
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in field ecology and remote sensing while contributing to work that informs real-world policy and operational outcomes. Funded by the Queensland Government’s Department of the Environment, Tourism
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partnership delivering research with direct environmental impact. This role offers the opportunity to build your expertise and research profile in field ecology and remote sensing while contributing
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sensing for environmental assessment, and water resources engineering. Demonstrated boat-based fieldwork experience, including Coxswain Grade 1 Near Coastal certification. Experience operating remote
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expert opinion. Integrate several tiers of spatially explicit, and where applicable, temporal soil data including conventionally measured, proximally and remotely sensed into tools and metrics to support
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record in statistical analysis, especially using data fusion, GIS, remote sensing and modelling. An emerging (Level A)/established (Level B) publication track record in relevant fields. Evidence of
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completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and