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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 days ago
, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in the field of social sciences, including economics, market modelling and public policy analysis
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
to contribute to a broader portfolio of research and outreach projects on decarbonisation, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in
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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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methods for monopiles and validating models through centrifuge testing. Contribute to research dissemination through publications, conferences, and supervision of students. About you PhD or equivalent
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successful in this position, you will have to demonstrate: Evidence of experience in social science research methods, especially quantitative research methods, and in particular, statistical modelling
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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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promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au . Other Information UQ is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 16 hours ago
combines contemporary design methods and digital technologies with hands-on making. It prepares graduates who are skilled, inventive, versatile and ready to engage with present and future global
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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