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methods for the prediction of crystal structure, the critical step in materials prediction for discovery. It will develop and apply new ML approaches to crystal structure prediction. Based at the University
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with UWA and NGI investigators to support the broader research project, including developing predictive methods for monopiles and validating models through centrifuge testing. Contribute to research
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, including cyclic loading and particle breakage effects, for use in numerical modelling. Collaborate with UWA and NGI investigators to support the broader research project, including developing predictive
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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understanding and predicting our coastal oceans, shelf seas and their interaction with the mesoscale boundary currents. The Postdoctoral Research Fellow: Physical Oceanographer- Regional Ocean Dynamics involves
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and data-poor settings. Key research areas include stress prediction, reservoir deformation, fault reactivation, and the interaction between injected fluids, and rock properties. This project offers
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Development Institute). The Research Fellow will develop AI-based methods that support fine-grained weather analysis for sectors such as wind resources and prediction under climate change. In close
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. The role focuses on leveraging data from a variety of characterisation technologies to develop predictive insights into the metallurgical and geoenvironmental properties of orebodies. The Research Fellow
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise