The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
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Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
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The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical ....The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical algorithms capable of fundamentally changing the way problems relevant to a wide range of vision-related applications are solved. This should offer Australia a strong competitive advantage as a leader in scientific innovation in the areas of Computer Vision, Virtual Reality and Robotics and Autonomous Systems.Read moreRead less
Optimising how the brain processes language in healthy and neurological populations. This research will examine how the ability of the brain to process language can be modified by behavioural experiences, certain drugs and direct brain stimulation. The findings have the potential to reveal new ways to treat language disorders after brain injury or disease.
Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres ....Drinking from the fire hose - Making sense of high density genetic and genomic data. The project will improve our understanding of the genetic component of common complex diseases such as cancer. Identification of genetic variants underlying disease risk is currently one of the primary means for increasing our understanding of the biochemical and developmental pathways involved. Genetic studies rely on sophisticated statistical and computational (bioinformatics) techniques. This project centres on the development, refinement and application of novel statistical analysis methods in genetics. Future advances in statistical and computational methods are essential if we are to exploit the large volumes of genome data now being generated to help develop diagnostics and interventions to improve public health.Read moreRead less
Harnessing non-invasive brain stimulation to improve language function in healthy and pathological ageing. This project will examine how the ability of the ageing brain to process language can be improved by non-invasive brain stimulation. The findings have the potential to reveal new ways to treat language impairments in ageing-associated brain injury and disease.
Superhuman place recognition with a unified model of human visual processing and rodent spatial memory. Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recog ....Superhuman place recognition with a unified model of human visual processing and rodent spatial memory. Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system. This project looks to combine the best understood and most capable components of place recognition in nature to create a whole more capable than its parts, produce advances in robotic and personal navigation technology and lead to breakthroughs in understandings of the brain.Read moreRead less