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calibration-transfer, and machine learning technologies to improve the estimation of forest structural attributes across plantation forest environments. Building on recently developed methods for LiDAR
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Senior Lecturer - Mechanical Engineering Adelaide CBD, SA, Australia, 5000 Engineering Level C Continuing - Full-time Add to favourites View favourites Based in the School of Electrical and
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purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters You will bring strong theoretical and practical expertise in Computer Science, Electrical Engineering or
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degree in Computer Science, Software Engineering, Computer Systems Engineering, Electrical/Electronic Engineering, or a closely related discipline, or equivalent professional experience. High-level
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researchers, working with experts in epidemiology, biostatistics, genomics, and machine learning. We offer a collaborative environment, access to world-class data resources, and excellent opportunities for
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), target and pathway modulation (PD), and tumour dynamics, with EGFR- and KRAS-driven non-small cell lung cancer as the flagship setting. A complementary stream applying machine learning to
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referees. Work Location(s) Number of offers available 2 Company/Institute Adelaide University Country Australia State/Province South Australia City Adelaide Geofield Contact State/Province South Australia City Adelaide Website <b>https</b>://www.adelaide.edu.au/ Street North Terrace Postal Code...