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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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modelling, data analysis and interdisciplinary approaches, our work investigates pathways to improve the resilience, efficiency and long-term sustainability of solar energy deployment. In this role, you will
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experience in one or more of: LiDAR processing forest inventory photogrammetry machine learning computer vision geospatial analysis experience analysing large spatial datasets programming experience in Python
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extensive expertise in microscopy and microanalysis, encompassing biological, mineral and materials sciences. They understand the need for accurate analysis, providing expert advice on suitable techniques and
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/or service delivery initiatives, including data analysis, interpretation and reporting. Demonstrated ability to support and build research capacity among clinicians, students, health professionals and