Discovery Early Career Researcher Award - Grant ID: DE180100629
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Evolutionary impacts of climate change in Australia’s fossil record. This project aims to identify evolutionary responses to climate change in Australia's fossil record by comparing variation in lizard and frog communities across geological time. Using X-ray techniques on museum specimens, this project will generate a large-scale database for tracking evolutionary shifts in relation to historical climatic events. Expected outcomes include the first anatomical descriptions for many species, filli ....Evolutionary impacts of climate change in Australia’s fossil record. This project aims to identify evolutionary responses to climate change in Australia's fossil record by comparing variation in lizard and frog communities across geological time. Using X-ray techniques on museum specimens, this project will generate a large-scale database for tracking evolutionary shifts in relation to historical climatic events. Expected outcomes include the first anatomical descriptions for many species, filling major gaps in our ability to place fossils in a contemporary framework. This research will demonstrate the value of our national collections for addressing important environmental issues, such as biodiversity, extinction, and future habitat change.Read moreRead less
Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary p ....Understanding evolution in natural systems using robotic models. This project aims to build biologically-inspired robotic and computational systems, and then modify these in ways which are either not possible, or have not yet occurred in natural systems. A comparison of these two systems will then allow a quantitative understanding of how well optimised biological structures are and where the limitations to optimisation lie. Expected outcomes include advancing the understanding of evolutionary processes, and will provide significant benefits, such as aiding the manufacture of efficient autonomous robots.Read moreRead less
Hardware Acceleration for Neural Systems. To really understand how brains work, we need to simulate neural networks of a size similar to that of the human brain (100 billion neurons, 100 trillion connections). Simulating such a network on standard computers in not possible because of its sheer size. Several groups are currently building very expensive and proprietary hardware to solve this, but the output from these projects will not be accessible to other researchers. In order to make real prog ....Hardware Acceleration for Neural Systems. To really understand how brains work, we need to simulate neural networks of a size similar to that of the human brain (100 billion neurons, 100 trillion connections). Simulating such a network on standard computers in not possible because of its sheer size. Several groups are currently building very expensive and proprietary hardware to solve this, but the output from these projects will not be accessible to other researchers. In order to make real progress in neuroscience, many more researchers need to be enabled to participate. To do this, the project will build a system from commercial hardware (FPGAs) that will cost only a few ten thousand dollars and it will make this design and software available for free. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100850
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers ....Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers can incorporate into next generation products: the products analyse their collected usage data, perform what-if analyses, and optimise their configurations accordingly for the next usage period. Hence, the products may respond faster, be more reliable, and consume less energy.Read moreRead less
Tracing nature's template: using statistical machine learning to evolve biocatalysts. In this project new computational methods will be developed to design nature-inspired, biological catalysts for industrial purposes. Such methods will enable catalysts to be designed that can improve the effectiveness and environmental footprint of drug development, agricultural and specialist chemical production and environmental remediation.
Advanced planning systems for vertically integrated supply chain management. This project will integrate various algorithms into an adaptive, dynamic and intelligent system that deals with the vertically integrated supply chains. The outcomes include publications in the quality outlets, generation of intellectual property, and dissemination of this research amongst the research and business communities.
The rational design and construction of new genetic circuits for applications in synthetic biology. By designing, building and testing new gene control modules, this project will gain an understanding of the design principles required for the construction of biological circuits with predictable and controllable behaviour. The ability to build such circuits will have significant economic benefit in areas such as metabolic engineering and biomedicine.
Single molecule intracellular intravital imaging of actin dynamics. The project intends to develop imaging technology to visualise fundamental processes in cells within a living animal. The focus will be on the actin cytoskeleton, a dynamic macromolecular machine involved in key cellular processes including cell structure, mobility and division. It is exquisitely sensitive to environmental perturbations, requiring it to be studied in cells in living tissue. The project aims to extend the resolut ....Single molecule intracellular intravital imaging of actin dynamics. The project intends to develop imaging technology to visualise fundamental processes in cells within a living animal. The focus will be on the actin cytoskeleton, a dynamic macromolecular machine involved in key cellular processes including cell structure, mobility and division. It is exquisitely sensitive to environmental perturbations, requiring it to be studied in cells in living tissue. The project aims to extend the resolution of live imaging to the single molecule to understand the dynamics of actin assembly with implications for cellular processes that are hijacked in diseases. It also aims to provide a novel assay that may enable testing of the impact of drugs on cellular processes in real time.Read moreRead less
Rational design of genetic circuits that respond to transient signals. Engineered genetic circuits with predictable and robust behaviour promise unprecedented environmental and economic benefits. Yet much work remains to be done before living devices can routinely be built from a standarised set of biological parts - the goal of synthetic biologists. By studying how natural genetic switch circuits respond to transient signals, this project aims to uncover a set of design rules which could be use ....Rational design of genetic circuits that respond to transient signals. Engineered genetic circuits with predictable and robust behaviour promise unprecedented environmental and economic benefits. Yet much work remains to be done before living devices can routinely be built from a standarised set of biological parts - the goal of synthetic biologists. By studying how natural genetic switch circuits respond to transient signals, this project aims to uncover a set of design rules which could be used to construct and control purpose-built genetic networks and pathways. The results of this project are expected to add to the molecular tookit available to synthetic biologists.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100052
Funder
Australian Research Council
Funding Amount
$4,789,838.00
Summary
ARC Training Centre for Cryo-Electron Microscopy of Membrane Proteins for Drug Discovery. This Centre aims to train industry-ready, world class graduates in cryo-electron microscopy of membrane proteins. The Centre’s graduates and research results would enable tomorrow’s industrial expansion in structure-enhanced drug design. Expected outcomes are world-first structural biology knowledge and techniques, and the entrepreneurial and technical skills desired by industry. This should provide signifi ....ARC Training Centre for Cryo-Electron Microscopy of Membrane Proteins for Drug Discovery. This Centre aims to train industry-ready, world class graduates in cryo-electron microscopy of membrane proteins. The Centre’s graduates and research results would enable tomorrow’s industrial expansion in structure-enhanced drug design. Expected outcomes are world-first structural biology knowledge and techniques, and the entrepreneurial and technical skills desired by industry. This should provide significant benefits including advancing Australian biotechnological capacity and improved linkages with major pharmaceutical partners. It should also provide a substantive competitive advantage to nascent Australian biotechnology companies that also links into new National investment into drug discovery and development infrastructure.Read moreRead less