Australian Laureate Fellowships - Grant ID: FL120100074
Funder
Australian Research Council
Funding Amount
$2,175,454.00
Summary
Using biological invasions to understand evolutionary processes. The invasion of cane toads through Australia has been devastating for many native species, but created opportunities for others. The rapid evolutionary responses stimulated by toad invasion provide a uniquely powerful model system with which to explore the broader question of how species adapt to novel challenges.
Australian Laureate Fellowships - Grant ID: FL100100080
Funder
Australian Research Council
Funding Amount
$2,859,732.00
Summary
Evolutionary ecology of vegetation. A more fundamental understanding will be developed about the architecture and ecology of vegetation and why it varies around the world. Understanding confers benefits for land management as well as cultural value. Under a high carbon dioxide future scenario, models will be needed that operate through fundamental mechanisms of evolution, competition and physiology, rather than through extrapolation from present-day plants. Australia is a leader in globalising p ....Evolutionary ecology of vegetation. A more fundamental understanding will be developed about the architecture and ecology of vegetation and why it varies around the world. Understanding confers benefits for land management as well as cultural value. Under a high carbon dioxide future scenario, models will be needed that operate through fundamental mechanisms of evolution, competition and physiology, rather than through extrapolation from present-day plants. Australia is a leader in globalising plant trait ecology, and the program will develop that role further. Through intensive short courses within the Sydney basin and at national scale, research capacity will be developed towards the coming four-way fusion among functional ecology, earth system science, comparative genomics and palaeobiology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL200100096
Funder
Australian Research Council
Funding Amount
$3,367,940.00
Summary
Mapping the genetic and lifestyle landscape of Healthy Ageing. This project aims to dissect how genes interact with the environment to control healthy ageing using a multidisciplinary approach combining state-of-the-art omics technologies, metabolic and ageing phenotyping and genetic analysis and a highly diverse model system. The project is expected to establish fundamental new understanding of the ageing process by identifying genes that regulate ageing either alone or in response to diet; by ....Mapping the genetic and lifestyle landscape of Healthy Ageing. This project aims to dissect how genes interact with the environment to control healthy ageing using a multidisciplinary approach combining state-of-the-art omics technologies, metabolic and ageing phenotyping and genetic analysis and a highly diverse model system. The project is expected to establish fundamental new understanding of the ageing process by identifying genes that regulate ageing either alone or in response to diet; by defining the mechanism by which such genes control ageing and by identifying biomarkers that predict different ageing outcomes. This knowledge will contribute to future strategies based on genetic testing and biomarkers to optimise healthy ageing in humans. Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100149
Funder
Australian Research Council
Funding Amount
$3,280,000.00
Summary
Autonomous learning for decision making in complex situations. The project aims to create a novel research direction – autonomous machine learning for data-driven decision-making – that innovatively and effectively learns from big data to support decision-making in complex (massive, uncertain, dynamic) situations. A set of new theories, methodologies and algorithms will give artificial intelligence the ability to learn autonomously from data to enable machine learning capability to effectively h ....Autonomous learning for decision making in complex situations. The project aims to create a novel research direction – autonomous machine learning for data-driven decision-making – that innovatively and effectively learns from big data to support decision-making in complex (massive, uncertain, dynamic) situations. A set of new theories, methodologies and algorithms will give artificial intelligence the ability to learn autonomously from data to enable machine learning capability to effectively handle tremendous uncertainties in data, learning processes and decision outputs, particularly enabling smart learning in massive domains, massive streams, and massive-agent sequentially changing environments. The project’s outcomes are expected to improve data-driven decision-making in multiple industry sectors.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL140100027
Funder
Australian Research Council
Funding Amount
$2,898,150.00
Summary
Under the hood: single-molecule studies of multi-protein machines. Under the hood: single-molecule studies of multi-protein machines. Living cells are filled with complex protein machines that are responsible for the molecular processes supporting life. This project is aimed towards the development of physical tools that enable the study of these protein complexes at the level of single molecules. This project aims to study the protein machinery responsible for DNA replication, the process of du ....Under the hood: single-molecule studies of multi-protein machines. Under the hood: single-molecule studies of multi-protein machines. Living cells are filled with complex protein machines that are responsible for the molecular processes supporting life. This project is aimed towards the development of physical tools that enable the study of these protein complexes at the level of single molecules. This project aims to study the protein machinery responsible for DNA replication, the process of duplicating genomic information before cell division. By making real-time single-molecule movies of the replication process, this project aims to unravel the molecular mechanisms of this important process and provide the knowledge required to understand disease mechanisms and catalyse drug development.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100003
Funder
Australian Research Council
Funding Amount
$3,108,997.00
Summary
A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation t ....A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation types, and predict their dynamics and resilience. It will transform our understanding of Australian vegetation form and function, and place it in a global context, with significant ongoing benefits for land management, fire management, agriculture and conservation.Read moreRead less