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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
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Australian National University | Canberra, Australian Capital Territory | Australia | about 16 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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experience 17% Superannuation and Flexible Working Arrangements Based at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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closely with an industry partner, you will generate cutting-edge insights into protein structures and protein-ligand interactions using in silico approaches such as bioinformatics, modelling and docking
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. Robert Mann (University of Waterloo), as well as a team of HDR students. The research will explore quantum aspects of physical black holes, collapse models, and the properties of ultra-compact objects
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) national consultation and co-design of a model of transitional healthcare for people leaving prisons; (2) a multi-site randomised controlled trial (RCT) of the model of care, in south-east Queensland; and (3
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essential, mathematical theory frequently suggests its value is low. This misalignment creates a gap between modelling and practice. The research will focus on developing new theory to explain why
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving