Discovery Early Career Researcher Award - Grant ID: DE210100375
Funder
Australian Research Council
Funding Amount
$428,191.00
Summary
Defining single-strand DNA break repair capacity in oocytes. This project aims to investigate fundamental biological mechanisms required for the production of high-quality oocytes, which fortify female fertility and the propagation of all sexually reproducing species. Exploiting unique mouse models, this study will define the importance of single strand DNA break repair capacity in oocytes for the first time, by outlining the role of single strand DNA repair proteins in maintaining genetic integ ....Defining single-strand DNA break repair capacity in oocytes. This project aims to investigate fundamental biological mechanisms required for the production of high-quality oocytes, which fortify female fertility and the propagation of all sexually reproducing species. Exploiting unique mouse models, this study will define the importance of single strand DNA break repair capacity in oocytes for the first time, by outlining the role of single strand DNA repair proteins in maintaining genetic integrity of gametes throughout their lifespan. In doing so, the intended outcome of this project is to dramatically improve our understanding of quality control in the female germ line. This should provide significant benefits to Australia by positioning it as a world leader in the field of Reproductive Science.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101832
Funder
Australian Research Council
Funding Amount
$425,941.00
Summary
Mechanisms of immune protection for infectious laryngotracheitis virus. This project aims to investigate the mechanisms of immune protection against infectious laryngotracheitis virus. This will be achieved by investigating the role of local and systemic immunity and the immune cells associated with long-term protection against disease. The mechanisms of protection against this virus remain unknown which impairs the development of efficacious vaccines. Expected outcomes of this project are a mor ....Mechanisms of immune protection for infectious laryngotracheitis virus. This project aims to investigate the mechanisms of immune protection against infectious laryngotracheitis virus. This will be achieved by investigating the role of local and systemic immunity and the immune cells associated with long-term protection against disease. The mechanisms of protection against this virus remain unknown which impairs the development of efficacious vaccines. Expected outcomes of this project are a more rational approach to vaccination resulting in the generation of more effective and safer vaccination strategies that should benefit our important poultry industry. Additionally, the new methodologies and knowledge on mucosal immune markers could be utilised for the study of other pathogens.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100802
Funder
Australian Research Council
Funding Amount
$410,778.00
Summary
Enabling a circular economy for poultry via exploration of metabolism. This project aims to address the environmental and economic burden of food waste by enabling its utilisation as a feed for poultry. This project expects to generate new knowledge in poultry nutrition using a holistic approach exploring the nutritional, health, welfare, economic and environmental effects of food waste diets for poultry. The expected outcomes of this project include enabling food waste diets for poultry and a g ....Enabling a circular economy for poultry via exploration of metabolism. This project aims to address the environmental and economic burden of food waste by enabling its utilisation as a feed for poultry. This project expects to generate new knowledge in poultry nutrition using a holistic approach exploring the nutritional, health, welfare, economic and environmental effects of food waste diets for poultry. The expected outcomes of this project include enabling food waste diets for poultry and a greater understanding of basic nutrition including, carbohydrate and fat metabolism. This should provide significant environmental and economic benefits by utilising food waste that would otherwise go to landfill and improving our understanding of poultry nutrition, giving potential economic savings over $500 million.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100006
Funder
Australian Research Council
Funding Amount
$383,872.00
Summary
Determining the regulation of ovary development with single cell sequencing. This project will greatly advance our understanding of ovary development and mammalian reproduction. I will investigate the process of ovarian primordial follicle activation including its genetic regulation, the importance of supportive granulosa cells and the biological significance of regulatory factors. This will be achieved through the comprehensive investigation of a single cell transcriptomic dataset of ovarian de ....Determining the regulation of ovary development with single cell sequencing. This project will greatly advance our understanding of ovary development and mammalian reproduction. I will investigate the process of ovarian primordial follicle activation including its genetic regulation, the importance of supportive granulosa cells and the biological significance of regulatory factors. This will be achieved through the comprehensive investigation of a single cell transcriptomic dataset of ovarian development (Aim 1) in conjunction with functional studies (Aim 2). The outcomes of which will hold significant benefit to animal reproduction through new strategies to improve livestock productivity and control invasive pest species. These outcomes are of economic and environmental and benefit nationally.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100113
Funder
Australian Research Council
Funding Amount
$420,437.00
Summary
Interactions between volumetric units in modular buildings. This project aims to develop an in-depth understanding of the interactions between volumetric units in modular buildings to develop integration strategies for the interconnection of modules. The uptake of modular construction has been hindered by the technical complexities of the design process for manufacture and assembly, in particular the flexible connection of services. By addressing significant gaps in the guidance on the design of ....Interactions between volumetric units in modular buildings. This project aims to develop an in-depth understanding of the interactions between volumetric units in modular buildings to develop integration strategies for the interconnection of modules. The uptake of modular construction has been hindered by the technical complexities of the design process for manufacture and assembly, in particular the flexible connection of services. By addressing significant gaps in the guidance on the design of modular interconnections and their integration strategies, this project expects to enhance the industry’s capacity to adopt safe, economical and standardised designs of modular systems. This project should significantly reduce the risk in decision making in modular construction, and transformation to advanced building manufacturing technologies in Australia and beyond.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100894
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Molecular mechanisms of equine fertility and early recognition of pregnancy. This project aims to identify biomarkers of stallion fertility and early pregnancy in thoroughbred and Standardbred horses using biochemistry, proteomics and ribonucleic acid analyses. Responding to industry calls for improved methods of detecting and managing infertility in both stallions and mares, this project will connect Australian horse breeders and international clinical experts with the world renowned reproducti ....Molecular mechanisms of equine fertility and early recognition of pregnancy. This project aims to identify biomarkers of stallion fertility and early pregnancy in thoroughbred and Standardbred horses using biochemistry, proteomics and ribonucleic acid analyses. Responding to industry calls for improved methods of detecting and managing infertility in both stallions and mares, this project will connect Australian horse breeders and international clinical experts with the world renowned reproductive Priority Research Centre with the intended outcome of novel reproductive technologies and diagnostic tests. This should both secure international competitiveness and significantly enhance profitability and employment in this culturally significant industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100096
Funder
Australian Research Council
Funding Amount
$436,032.00
Summary
Understanding the relationship between the social environment and cognition. The predominant theory for the evolution of intelligence, the social intelligence hypothesis (SIH), posits that within-group social interactions drive cognitive evolution. But the SIH overlooks a major component of social life: interactions with outsiders of the same species. Using a unique combination of meta-analytical and experimental approaches, the DECRA project will test the predictions of an expanded SIH, incorpo ....Understanding the relationship between the social environment and cognition. The predominant theory for the evolution of intelligence, the social intelligence hypothesis (SIH), posits that within-group social interactions drive cognitive evolution. But the SIH overlooks a major component of social life: interactions with outsiders of the same species. Using a unique combination of meta-analytical and experimental approaches, the DECRA project will test the predictions of an expanded SIH, incorporating the “Napoleonic” cognitive challenges posed by outsiders. The expected outcome is to gain a new understanding of which factors govern cognitive evolution – one of the longest-running debates in evolutionary biology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100352
Funder
Australian Research Council
Funding Amount
$388,487.00
Summary
Reconstructing evolutionary history of termite collective nest construction. This project aims to ask and answer fundamental questions about how complex animal collective behaviour has evolved in the history of life. It combines the quantification of termite building behaviour and nest structures using a state-of-the-art video tracking technique with the latest molecular phylogenetics. This project expects to provide the first comprehensive information on termite collective building in a phyloge ....Reconstructing evolutionary history of termite collective nest construction. This project aims to ask and answer fundamental questions about how complex animal collective behaviour has evolved in the history of life. It combines the quantification of termite building behaviour and nest structures using a state-of-the-art video tracking technique with the latest molecular phylogenetics. This project expects to provide the first comprehensive information on termite collective building in a phylogenetic framework, which will be a showcase study of future studies on the evolution of complex phenotypes and resolve a debate over termite social evolution. Furthermore, it provides new knowledge of Australian native termite fauna as economically destructive pest insects.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100749
Funder
Australian Research Council
Funding Amount
$434,030.00
Summary
Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coars ....Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coarse-resolution ocean models, thereby enhancing these models' representation of the ocean circulation. This project expects to reveal the dynamics of unresolved processes, to improve the accuracy of climate projections and to provide a proof-of-concept for how machine learning can be used in ocean and climate science.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101070
Funder
Australian Research Council
Funding Amount
$376,496.00
Summary
Consequences of Model Misspecification in Approximate Bayesian Computation. In almost any empirical application, the model the analyst is working with constitutes a misspecified description of the true process that has generated the data. While the method of Approximate Bayesian computation (ABC) is now a staple in the toolkit of the applied modeller, the impact of misspecification in ABC is unknown. This project aims to undertake a rigorous study into the behaviour of ABC under model misspecifi ....Consequences of Model Misspecification in Approximate Bayesian Computation. In almost any empirical application, the model the analyst is working with constitutes a misspecified description of the true process that has generated the data. While the method of Approximate Bayesian computation (ABC) is now a staple in the toolkit of the applied modeller, the impact of misspecification in ABC is unknown. This project aims to undertake a rigorous study into the behaviour of ABC under model misspecification. Expected outcomes include new theoretical results for ABC under misspecification and new methods capable of detecting/mitigating model misspecification. This project will provide significant benefits in all spheres where reliable, robust statistical inference methods are required in order to make reliable decisions.
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