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Research Topic : Operating Systems
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE200100803

    Funder
    Australian Research Council
    Funding Amount
    $405,763.00
    Summary
    Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-c .... Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-collapse supernovae, and innovative visualization solutions for complex 3D datasets. This project is expected to largely refine our grasp of the formation of heavy elements in the Universe, and thus provide significant cultural benefit in enhancing our understanding of mankind's cosmic origin in the heart of massive stars.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT170100470

    Funder
    Australian Research Council
    Funding Amount
    $800,000.00
    Summary
    Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr .... Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.
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    Funded Activity

    Australian Laureate Fellowships - Grant ID: FL160100170

    Funder
    Australian Research Council
    Funding Amount
    $2,887,531.00
    Summary
    Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate th .... Scaling in biology: size control at the cell, organelle and organism level. This project aims to decipher the universal mechanisms that coordinate growth with division and thereby dictate the size of the cell. It would investigate this question from the triangulating perspective of evolution using yeast and animal models. It plans to interrogate the complex sub-networks that govern cell size using novel genome-scale reagent sets for systematic genetics and other approaches. It would integrate this data in predictive mathematical models of size control that illuminate how the cell processes size-related information, and how size mechanisms evolve to impact form and function in biology. This research is expected to have commercial applications in biotechnology processes and bioengineering.
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    Showing 1-3 of 3 Funded Activites

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