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characterisation or dealing with cellulose in nanofibre form Understanding of separation of trace elements absorbed by fibres Proven experience in microbial cellulose generation, processing and characterisation
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
-manufacturing and industry-compatible techniques for metal deposition. Requires advanced skills in electrodes micro/nano-fabrication and characterisation. Demonstrated experience in screen printing, including
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 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 10 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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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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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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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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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