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The School of the Environment An exciting opportunity to enhance your expertise and research profile in 3D laser scanning of forest structure using drone remote sensing. Can be flexible with
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detectors (GWD), including advanced numerical simulation and analysis tools; ultra-sensitive wavefront sensing and compensation techniques; adaptive optics; high-precision measurement of optical absorption in
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simulation and analysis tools; ultra-sensitive wavefront sensing and compensation techniques; adaptive optics; high-precision measurement of optical absorption in low-loss materials and optical coatings; and
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Demonstrated understanding and industry use of forest growth and yield modelling systems and software, and understanding of the data (including remote sensing) and model requirements supporting forestry systems
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management of coral reefs. Key Responsibilities will include: Integrate in-situ ecological and water quality data with satellite and aerial remote sensing data to collect information related to coral reef
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/forecasting techniques and use of remote sensing in these applications is desirable. Demonstrated success in collaboration in interdisciplinary team-work environments Evidence of publications in reputed
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innovators in a vibrant academic environment At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
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of crop breeding/assessment trials Desirable: experience in the application of statistics and quantitative genetics in plant or animal science Desirable: experience in use of proximal and/or remote sensing
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practice including environmental science, remote sensing, applied mathematics or computer science. Masters level qualififcations with significant applied or industry knowledge will be considered. High
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physiology, environment characterisation, and utilisation of phenomics methods Experience in use of crop simulation models and remote sensing in interpretation of multi-site field experiments in breeding and