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Research Topic : visual assessment
Status : Declined
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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

    Discovery Early Career Researcher Award - Grant ID: DE160101535

    Funder
    Australian Research Council
    Funding Amount
    $363,000.00
    Summary
    Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding .... Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding of species' former population sizes, connectivity and biodiversity. The project seeks to elucidate the population genetic, phylogenetic, and conservation genetic parameters of the three species at the genomic level using DNA isolated from modern and ancient sources (eg museum skins and fossils). The information gained may inform conservation efforts for some of Australia’s endangered biota.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT210100543

    Funder
    Australian Research Council
    Funding Amount
    $824,125.00
    Summary
    Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra .... Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.
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