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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
numerical seismology, data processing, computer programming, and fieldwork are encouraged to apply. The position working with Dr Caroline Eakin will focus on research in observational seismology, with the aim
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting
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completion) in computer science, electrical engineering, AI, machine learning, remote sensing, robotics, or a closely related discipline. Demonstrated expertise and research track record in deep learning and
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awareness, information seeking, etc. Demonstrated experience in using machine learning, including for image processing. Demonstrated software engineering/development abilities, and the use of tools
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intersection of machine learning, crop genetics, and biological data science, contributing to high-impact research that supports accelerated crop improvement and strengthens Australia’s agricultural industries
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of these publications and your part in these. Selection Criteria: Essential PHD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and