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research related to a new proposed iron/steelmaking route with specific focus on slag properties and slag-liquid metal reactions for high temperature processing. The fellow will be involved in planning
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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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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 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 23 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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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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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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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