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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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particular focus on current models of MND care coordination. This includes examining the scope of practice, barriers, and facilitators influencing the effectiveness of the role, as well as applying qualitative
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complex multiphysics problems, and want to drive meaningful change through research - this might be the role for you! This is your opportunity to work on high-impact projects—from modelling fluid flow in
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other Research Scientists. Conceptualise, design and test a novel framework for soil health assessments of Australian agricultural soil resources, taking into account current international and domestic
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
-cell RNA-sequencing data, with a focus on mouse models of age-related macular degeneration. The successful candidate will join Associate Professor Jean Wen’s research group, conducting independent
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
in current and fully decarbonised iron and steelmaking value chains. The Research Fellow will be expected to contribute to a broader portfolio of research and outreach projects on decarbonisation
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling