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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
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. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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, biomedical instrumentation, wearable technologies, biomedical integrated circuits and sensors, neural engineering, optogenetics, and medical machine learning. Quantum Engineering: quantum sciences and
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community engagement. Our academics are renowned for their expertise across a diverse range of legal fields including Environmental Law and Natural Resources, Military and Space Law, Law Reform, Commercial