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Australian State/Territory : QLD
Research Topic : Evolution of Developmental Systems
Status : Declined
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  • Funded Activity

    Discovery Projects - Grant ID: DP0208257

    Funder
    Australian Research Council
    Funding Amount
    $120,000.00
    Summary
    A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and a .... A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and appropriate pedagogies determined. It also has application to human factors, especially industrial performance and decision making. It will advance on currrent methods because it enables workload to be analysed and predicted, so that it can be factored into job and system design.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT220100713

    Funder
    Australian Research Council
    Funding Amount
    $1,083,986.00
    Summary
    Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes .... Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes. The outcomes include a unified understanding of gene expression and more accurate next-generation sequencing and mass-spectrophotometry technologies. The synthetic genes also allow standardisation and optimisation of biomanufacturing processes that will produce mRNA and biologics products at a higher purity and lower cost.
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    Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100578

    Funder
    Australian Research Council
    Funding Amount
    $355,208.00
    Summary
    Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar .... Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.
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