Industrial Transformation Training Centres - Grant ID: IC220100035
Funder
Australian Research Council
Funding Amount
$4,958,927.00
Summary
ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, ....ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, providing the materials and inspiration for young researchers to apply novel hyphenated methods to complex environmental and industrial systems. This Centre will deliver fundamental developments in hyphenated technologies, new analytical capability, and applied outcomes across multiple end-user groups and interests. Read moreRead less
Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisatio ....Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisation of the, potentially, tens of thousands of individual molecular lipid species that may be present within a sample of interest. This project will develop and optimise novel, ultraviolet photodissociation-tandem mass spectrometry methods which will be integrated within an automated lipidome analysis workflow, to enable comprehensive global lipidome profiling and to reveal the structural diversity of lipids involved in fundamental cellular signalling processes.Read moreRead less
The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions th ....The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions that are fundamental to almost every aspect of cell biology. The project is intended to benefit Australia through contributing to fundamental knowledge in the field, facilitating the development of new CRISPR-Cas biotechnologies for RNA detection and through the training of young researchers in frontier technologies. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100056
Funder
Australian Research Council
Funding Amount
$3,975,864.00
Summary
ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning an ....ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning and artificial intelligence for the delivery of optimal solutions in diagnosis, treatment and wellbeing. The centre will deliver training in Industry 4.0 skills which will boost early-stage scale-up and accelerate the sector’s supply chain, which is pivotal for the Australian industries to maintain a competitive edge. Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu ....Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.Read moreRead less
Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary ....Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary instruments. This would enable synchronous measurement of molecular mass and conformation with nanometre resolution. In contrast to current mass spectrometry, this technology could be operated in fluid and detect neutral species. This significant change in capability could be applied to advance biological and medical research.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100161
Funder
Australian Research Council
Funding Amount
$407,598.00
Summary
Translational Design: Product Development for Research Commercialisation. Australia is a world leader in fundamental research. Yet, ranks as one of the worst developed nations for translating research into new-to-market innovation. This project explores a new role for design as a critical component of research commercialisation and innovation ecosystems. It expects to contribute novel insights into how designers can be better integrated into interdisciplinary research directed towards commercial ....Translational Design: Product Development for Research Commercialisation. Australia is a world leader in fundamental research. Yet, ranks as one of the worst developed nations for translating research into new-to-market innovation. This project explores a new role for design as a critical component of research commercialisation and innovation ecosystems. It expects to contribute novel insights into how designers can be better integrated into interdisciplinary research directed towards commercial outcomes. Expected outcomes include a framework and toolkit for a paradigm-shifting design approach to translating fundamental research into products commercialised and manufactured in Australia. This should provide enhanced economic benefit, building Australia’s sovereign capability in new-to-market innovation.Read moreRead less
An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, mos ....An optimisation-based framework for non-classical Chebyshev approximation. This project aims to solve open mathematical problems in multivariate and piecewise polynomial approximations, two directions that correspond to fundamental obstacles to extending classical approximation results. Through an innovative combination of optimisation and algebraic technique, the project intends to develop foundations for new results in approximation theory, and new insights into other areas of mathematics, most notably optimisation. The techniques and methods developed should also have significant benefits in the many disciplines where approximation problems appear, such as engineering, physics or data mining. The research outputs resulting from this project will be used in a wide range of fields to help implement programs, policies and improve decision making.Read moreRead less