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potential large-scale climate repercussions. Even more so since the AMOC brings CO2 from the surface to the deep ocean during deepwater formation (physical pump), and variations in the AMOC strength will
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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, Coastal and Shelf Sea Dynamics, Earth System Modelling, Ice and Climate and Oceans and Climate. In 2022, IMAU research quality and impact were qualified as 'world leading' by an international visitation
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Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection
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metocean and biogeochemistry models accounting for climate change impacts across Europe (from the Nordic Seas to the Black Sea and Mediterranean Sea) and the Pan-Arctic region. The PhD project focuses on new
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Apply now Coastal dunes are crucial for society but face growing pressure from sea level rise, storms and human disturbance. Coastal dune evolution is determined by interactions of vegetation, wind and
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this overlooked impact. The turbulent wake governs spreading of pollutants from ships, influence the air-sea gas exchange, and may act as a barrier, affecting connectivity in the marine ecosystem. There is an
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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communication for global ocean environments: Deep learning models perform robustly on certain environments since they are developed by data in low signal-to-noise ratio. To develop more robust models, we will