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for admission. The project would suit a candidate with a background in surveying/geodesy, geomatics, remote sensing, geospatial science, civil/environmental engineering, hydrology, Earth observation
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with one of the following doctoral research projects. 1. AI-Aided Site Reconnaissance and Rapid Assessments for Settlement Upgrading How can spatial analytics, remote sensing, and machine learning models
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candidates with qualifications in civil/geotechnical engineering, coastal engineering, geology, geomatics, or related fields. Experience in UAV surveying, remote sensing, or laboratory experimentation will be
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tailored for the unique challenges of rural, regional, and remote Australian roads. AVR3 fosters a collaborative network of experts from multiple academic partners (including QUT, the University of Sydney