Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Science
- Materials Science
- Law
- Biology
- Linguistics
- Arts and Literature
- Education
- Philosophy
- Mathematics
- Environment
- Humanities
- Earth Sciences
- Sports and Recreation
- Chemistry
- Electrical Engineering
- Design
- Psychology
- Social Sciences
- 13 more »
- « less
-
This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
-
Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
-
computing/ computer science, engineering, social science, science, community development). They will be committed to undertaking research that supports First Nations people and communities in accessing and
-
The Opportunity Do you thrive at the intersection of technology, data and people? We’re seeking a Business Systems and Data Officer to play a key role in supporting the implementation, transition and enhancement
-
This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...
-
I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you will have the opportunity to interact with gravitational-wave researchers throughout Australia and...
-
This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
-
We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS,...
-
Ross Booth Honours Scholarship Sir John Monash Scholarship for Excellence This scholarship is awarded in memory of Ross Booth (1952-2024), a long-serving member of the Department of Economics and
-
and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it