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Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (Dr)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)

Remote monitoring solutions for beef cattle welfare and productivity

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise beef catt more...

Supervisor(s): Clark, Cameron Edward Fisher (Associate Professor), Garcia, Sergio (Yani) (Professor)

Advanced sensor and data analytics in pasture-based dairy systems

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise individua more...

Supervisor(s): Garcia, Sergio (Yani) (Professor), Clark, Cameron Edward Fisher (Associate Professor)

A sensor driven approach to assessing health in honey bee colonies

This project aims to optimise honey bee colony health by developing low-cost sensor arrays. The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr Jo more...

Supervisor(s): Latty, Tanya (Dr)

New technologies for detecting, counting and identifying pollinators in the field

This project will leverage advances in image processing and machine learning to develop new techniques for high throughput sampling of pollinator populations in crops.  Th more...

Supervisor(s): Latty, Tanya (Dr)

Advanced orchard mapping systems using robotics, sensing and perception

The aim of the project is to research and develop intelligent orchard mapping systems that provide timely, high resolution data to support farm management. more...

Supervisor(s): Underwood, James (Dr)

CRISPR-based genome editing

The recent development of genome editing technology is perhaps the single biggest technical breakthrough in the history of life sciences, allowing for near complete control over euk more...

Supervisor(s): Neely, Greg (Professor)

Discovery and validation of new ceramide synthase inhibitors to treat metabolic disease

Ceramide synthase enzyme isoforms 1, 5, and 6, are heavily implicated as drivers of obesity, insulin resistance, and diabetes. Targeting these enzymes is expected to yield new thera more...

Supervisor(s): Don, Anthony (Associate Professor), Qi, Jacob (Dr)