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Computational approaches to elucidate Multiple Sclerosis and Contact Dermatitis pathogenesis, and its treatment through ultraviolet light exposure

Allergies and autoimmunity are complex immune system aberrations. Both involve multiple immune cell populations coordinating across several organs of the body. The growing prevalenc more...

Supervisor(s): Read, Mark (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)

Predictors and mediators of swallowing and voice deficits following whiplash trauma: Is it biology or psychology?

My laboratory investigates the neuromuscular mechanisms underlying the transition from acute to chronic pain following musculoskeletal trauma (generally) and head/neck trauma (speci more...

Supervisor(s): Elliott, James (Professor)

Evolution of human post-menopausal longevity: Grandmother Hypothesis

An outstanding question in human evolution is why humans developed such long lifespans, greatly exceeding the end of female fertility.  As far as we know, only pilot whales and more...

Supervisor(s): Kim, Peter (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)

Novel biophotonic devices

The project will explore novel biomedical applications of a new type of fibre, taking advantage of our recent breakthrough in fabrication of fibres in low Young's modulus materials more...

Supervisor(s): Fleming, Simon (Professor)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)