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Brain Network Structure and Dynamics

This research area is concerned with developing better understanding of the structure of the brain, especially through modeling the dynamics and interactions of its neuronal network more...

Supervisor(s): Robinson, Peter (Professor)

Neural Field Theory and Brain Dynamics

This research area is concerned with developing better understanding of the structure and activity of the brain, especially through modeling the dynamics and interactions of its neu more...

Supervisor(s): Robinson, Peter (Professor)

Brain Structural Connectomics and Tractographic Performance in Ultra-High Resolution Diffusion Imaging

Sydney Translational Imaging Laboratory (STIL) have an opportunity for a PhD student to investigate the structure of the brain's white matter fibres at a previously unseen level of more...

Supervisor(s): Grieve, Stuart (Professor)

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)

Neural circuitry of emotion processing disturbance in alcohol use disorder

The PhD students will use a combination of neuropsychological and neuroimaging techniques to study brain-behaviour relationships of addiction. These projects are ideally suited to i more...

Supervisor(s): Morley, Kirsten (Dr)

Reward processing deficits in addiction and comorbidities

The PhD students will use a combination of techniques to study brain-behaviour relationships of addiction. These projects are ideally suited to individuals who have a strong aptitud more...

Supervisor(s): Morley, Kirsten (Dr)

Balance, Resistance and Interval Training Trial

BRAIN, or The BRaIN Training Trial (Balance, Resistance and Interval Training Trial) is a large, multi-national randomised controlled trial (RCT). The purpose of the trial the effic more...

Supervisor(s): Fiatarone Singh, Maria (Professor), Mavros, Yorgi (Dr)

Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (Professor)

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)

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)