A Tough Resilin Based Hydrogel Platform for Repair and Regeneration. This project seeks to develop novel hydrogels that mimic the properties of the body. In the field of repair and regeneration, our challenge is to make hydrogels that retain the fatigue and resilience properties of the natural body part, but are comprised of nontoxic material. Resilin is a remarkable material exhibiting a broad range of stimuli-responsive behaviour and outstanding elasticity. The project aim is to create a tough ....A Tough Resilin Based Hydrogel Platform for Repair and Regeneration. This project seeks to develop novel hydrogels that mimic the properties of the body. In the field of repair and regeneration, our challenge is to make hydrogels that retain the fatigue and resilience properties of the natural body part, but are comprised of nontoxic material. Resilin is a remarkable material exhibiting a broad range of stimuli-responsive behaviour and outstanding elasticity. The project aim is to create a tough and responsive hydrogel platform from this disordered protein family through greater understanding of structure and mechanical function and incorporating adequate stiffness, strength and biocompatibility. Such tough hydrogels would be applicable to a range of biotechnological applications (eg intervertebral disc repair or artificial skin tissue engineering).Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100190
Funder
Australian Research Council
Funding Amount
$620,000.00
Summary
Electrophysiology Platform for Ion-channel Characterisation. Ion channels are ubiquitous pore-forming membrane proteins, with the human genome encoding >300 ion channels. The diverse roles of ion channels include action potential generation, control of ion flow across secretory and epithelial cells, and regulation of cell volume, motility and proliferation. Pharmacological modulators are powerful tools for probing ion channel function, but for most channels these tools are lacking. Thus, this p .... Electrophysiology Platform for Ion-channel Characterisation. Ion channels are ubiquitous pore-forming membrane proteins, with the human genome encoding >300 ion channels. The diverse roles of ion channels include action potential generation, control of ion flow across secretory and epithelial cells, and regulation of cell volume, motility and proliferation. Pharmacological modulators are powerful tools for probing ion channel function, but for most channels these tools are lacking. Thus, this project aims to develop the first comprehensive toolbox of ion channel modulators using an integrated in vitro/in vivo electrophysiology platform. These pharmacological tools will be made freely available to the Australian research community for probing the mechanism and physiological function of ion channels.Read moreRead less
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Making Green Guard® greener: enhancing the efficacy of a biopesticide. The project aims to identify naturally occurring micro-organisms to increase the effectiveness of Green Guard ®, which is a biopesticide used against the Australian plague locust. The project will use next-generation sequencing and other molecular techniques to potentially identify candidate microbes or combinations of microbes that can be added to Green Guard to enhance locust susceptibility. The project also aims to quantif ....Making Green Guard® greener: enhancing the efficacy of a biopesticide. The project aims to identify naturally occurring micro-organisms to increase the effectiveness of Green Guard ®, which is a biopesticide used against the Australian plague locust. The project will use next-generation sequencing and other molecular techniques to potentially identify candidate microbes or combinations of microbes that can be added to Green Guard to enhance locust susceptibility. The project also aims to quantify the interactive impact of temperature and nutrition on immune function, disease resistance and host-plant quality of plague locusts; and to explore the combined effects of temperature, habitat and Green Guard, in combination with candidate microbes or pathogens, on the behaviour and collective movement of locusts. It is anticipated that this will have implications for management and control strategies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100174
Funder
Australian Research Council
Funding Amount
$800,000.00
Summary
Innovative synchrotron science - program for access to the Australian National Beamline Facility and cutting-edge beamlines at international synchrotrons. Synchrotron science dramatically affects the community through the innovative scientific, engineering and medical research outcomes it produces. This program for access to synchrotron beamlines is aimed at enhancing Australia's high international standing in synchrotron science and will have many flow-on effects in areas such as health and ind ....Innovative synchrotron science - program for access to the Australian National Beamline Facility and cutting-edge beamlines at international synchrotrons. Synchrotron science dramatically affects the community through the innovative scientific, engineering and medical research outcomes it produces. This program for access to synchrotron beamlines is aimed at enhancing Australia's high international standing in synchrotron science and will have many flow-on effects in areas such as health and industry.Read moreRead less