Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, representing a significant reduction of the cost of the MRI scan per patient. This project will develop cutting edge data processing methods for mobile MRI scanners and testing in clinical enviroment.
-
for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
-
) to improve cardiovascular risk assessment and prediction. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic
-
This PhD research aims to develop and evaluate explainable AI and machine-learning approaches for early detection, risk stratification and prognostic prediction of colorectal cancer, with a focus on
-
data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop advanced Machine Learning methods for prediction, risk stratification, clinical
-
learning affect collective decisions? What happens when agents differ in their information, objectives or ability to learn? The precise question will be developed with the student. A project may combine
-
the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Machine Learning for In Situ Materials Characterisation. We are seeking an outstanding PhD candidate to develop
-
experience, the project develops inclusive toys using cutting-edge technologies like augmented reality and 3D customisation. These toys will be shared through Australia’s first open-source toy library
-
activities. The role also provides an opportunity to lead and develop a small team and contribute to the effective operation and ongoing enhancement of WIL and placement services. About You You’ll be
-
computation is necessary before taking an action. This PhD project will address these challenges by developing trustworthy and resource-adaptive VLA models. A central question is whether an embodied agent can