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digital elevation model (DEM). Experience in using landscape evolution, flow routing, sediment transport, or hydrological models. Experience with drone survey and data processing. Field experience in
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models. Both domestic and international travel may be required as part of this role for data collection and participation in workshops, conferences and symposia to communicate research findings. To be
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leadership and expertise in the synthesis and characterization of advanced nanomaterials, specifically focusing on the integration of machine learning, wafer-scale synthesis of materials, and high-throughput
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and Host Area The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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. Mendonça. You will investigate ocean and sea-ice dynamics on Earth and the icy moons of our Solar System, using the state-of-the-art Oceananigans model. Over the two-year appointment (1 + 1), you will also
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experts in machine learning, classical algorithms, and many-body quantum systems, with research topics including: Adiabatic and measurement-based quantum computing, Tensor networks for machine learning
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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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such as participant observation, interviews, and surveys, the project will ask: What does co-creation mean for artists, participants, audiences, and locals? How can co-creation offer alternatives to models
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving