Sort by
Refine Your Search
-
Listed
-
Employer
- Monash University
- Charles Sturt University
- The University of Queensland
- University of Sydney
- Curtin University
- CSIRO
- RMIT University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of New South Wales
- Deakin University
- Australian National University
- Edith Cowan University
- Macquarie University
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- Flinders University
- CHARLES STURT UNIVERSITY
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Nature Careers
- Federation University Australia
- Murdoch University
- RMIT UNIVERSITY
- The University of Adelaide
- The University of Western Australia
- University of Tasmania
- University of Technology Sydney
- 17 more »
- « less
-
Field
-
In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
-
healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
-
. #sustainability Project description For distributed renewable micro-grids to become a mature technology, the economics and the reliability have to be equal to or better than today’s distribution grids. The PhD
-
monthly stipends. This research direction will involve close collaborations with Prof Lin Chen of China. The supervisor is currently engaged in a joint research project with Prof Lin Chen that will fund
-
Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
-
Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention. Despite many studies introducing various APR techniques, much remains to be learned, however, about...
-
Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
-
package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
-
. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical
-
Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage