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2026 ARDC Annual Survey is now open!

The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your interaction with the ARDC and use of our national research infrastructure and services. The survey will take approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure services including Reasearch Link Australia.

We will use the information you provide to improve the national research infrastructure and services we deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS) program.

Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.

Complete the 5 min survey now by clicking on the link below.

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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT120100876

    Funder
    Australian Research Council
    Funding Amount
    $707,688.00
    Summary
    Understanding the biology of reactive oxygen species. This project will utilise forefront technologies to identify and characterise fundamental biological processes involving toxic free radicals that cause infectious disease and cancer. The approach synergises with researchers across disciplines and universities to ultimately identify future drugs to improve and maintain health.
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    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100082

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    FACSAria III - Fluorescence activated cell sorter. Flow cytometry is a technique for counting and examining microscopic particles, such as cells and chromosomes, by suspending them in a stream of fluid and passing them by an electronic detection apparatus. The FACSAria III cell sorter will be used to establish a core facility for sorting cells. The outcomes from using this technology are a better understanding cellular and genetic understanding of cancer, respiratory diseases, reproduction and .... FACSAria III - Fluorescence activated cell sorter. Flow cytometry is a technique for counting and examining microscopic particles, such as cells and chromosomes, by suspending them in a stream of fluid and passing them by an electronic detection apparatus. The FACSAria III cell sorter will be used to establish a core facility for sorting cells. The outcomes from using this technology are a better understanding cellular and genetic understanding of cancer, respiratory diseases, reproduction and birth.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100203

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Accessing the third dimension in scanning electron microscopy for rapid, high resolution tomography of large samples. Understanding the three-dimensional structure of materials is essential for modern research. This facility will allow rapid three-dimensional imaging of materials within a scanning electron microscope, including sustainable polymers, tissues from plants and nanocomposites. This will enable high-quality research in science, engineering and medicine.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT130101902

    Funder
    Australian Research Council
    Funding Amount
    $868,500.00
    Summary
    Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres .... Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres on the development, refinement and application of novel statistical analysis methods in genetics. Future advances in statistical and computational methods are essential if we are to exploit the large volumes of genome data now being generated to help develop diagnostics and interventions to improve public health.
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    Showing 1-4 of 4 Funded Activites

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