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Australian State/Territory : QLD
Status : Active
Research Topic : Intensity Modulated Radiation Therapy
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP200103093

    Funder
    Australian Research Council
    Funding Amount
    $449,250.00
    Summary
    How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understandi .... How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understanding the dynamics of developmental systems that shape complex brain traits includes establishing new developmental paradigms in evolutionary theory, generating new tools to investigate and manipulate brain gene expression in vivo, and the potential discovery of the causes of neurodevelopmental dysfunction.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102978

    Funder
    Australian Research Council
    Funding Amount
    $425,291.00
    Summary
    Social cohesion and resilience through intercultural music engagement. This project aims to identify, evaluate and develop theoretical and practical ways in which intercultural music engagement can facilitate social cohesion and enhance community resilience and intercultural empathy. There is growing evidence that music is a powerful stimulus for wellbeing and interpersonal connection and it is increasingly applied to promote intercultural understanding. This project will use detailed observatio .... Social cohesion and resilience through intercultural music engagement. This project aims to identify, evaluate and develop theoretical and practical ways in which intercultural music engagement can facilitate social cohesion and enhance community resilience and intercultural empathy. There is growing evidence that music is a powerful stimulus for wellbeing and interpersonal connection and it is increasingly applied to promote intercultural understanding. This project will use detailed observational, participatory and experimental strategies to elucidate the psychosocial processes underpinning intercultural music engagement, isolating variables that promote social cohesion. The project will develop best practice guidelines for organisations seeking to use cultural exposure and interaction to promote positive multicultural experiences.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100499

    Funder
    Australian Research Council
    Funding Amount
    $415,000.00
    Summary
    Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un .... Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.
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