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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you
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processing approaches and treatment of impurities Experimental work to develop comprehensive understanding of iron ore solubility in molten carbonates Characterisation of iron deposits formed in the presence
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 14 days ago
, we aim to build a resilient agricultural and environmental future. Central to this effort is our AgriTwins program (a part of the CSIRO Next Generation Graduates Programs ), a transformative approach
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top up of $10,000 per year for a maximum of 3.5 years. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research
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. Depending on your interests, research projects can range from developing new ways to ‘see’ atoms to understanding technologically-important materials. They can involve theory or experiment or a mix of both
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Job no:517174 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer contribution of 17% superannuation applies
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, this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will
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that mitigate issues such as local minima in minimizing highly non-convex objective functions. By addressing these critical questions, we aim to enhance the interpretability and robustness of deep learning