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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As
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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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economies and prediction markets. Opportunity to supervise research students and work as part of a larger team. Opportunities for inter-disciplinary collaborations, and collaborate with industry and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
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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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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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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