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earth systems. There are also opportunities for biogeochemical modelling as part of the position and either some knowledge of, or interest in, this would be ideal. To be successful you will need: PhD
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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degree in mathematics, strongly encouraged to apply. Experience and demonstratable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural
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are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff. We embrace flexibility as a key principle to allow our people to manage the changing