Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- RMIT University
- Curtin University
- University of Adelaide
- University of New South Wales
- The University of Queensland
- Queensland University of Technology
- RMIT UNIVERSITY
- The University of Western Australia
- Flinders University
- James Cook University
- La Trobe University
- Swinburne University of Technology
- University of Melbourne
- University of Southern Queensland
- Australian National University
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Tasmania
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Amgen Scholars Program
- BOND UNIVERSITY
- Central Queensland University
- Deakin University
- Macquarie University
- Murdoch University
- The University of Newcastle
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Sydney
- University of Western Sydney
- 22 more »
- « less
-
Field
-
This scholarship aims to develop practical methods for optimisaton in large supply chain operations. Ideally candidates should have strong AI, machine learning, and optimisation backgrounds
-
Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $41,600 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
-
models like SWMM are computationally slow and lack scalability, while opaque AI methods risk biased outcomes. This project addresses these gaps by developing a responsible machine-learning framework
-
Building tools to detect or prevent unsafe AI outputs Exploring regulatory gaps and proposing solutions This is an ideal opportunity for candidates with interests in machine learning, public health, ethics
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
-
technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
-
, Engineering or others related to the PhD topic) Excellent programming and/or robotics background, with a keen interest in human-robot interaction Prior knowledge of robotics and machine learning (e.g., relevant
-
training materials for research teams, focusing on data science and machine learning techniques in geoscience. Position description: PD [Research Fellow] [520112].pdf To learn more about this opportunity
-
Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
-
. Fabricate the selected microfluidic designs in RMIT’s cleanroom facilities. Test the functional performance of these designs using micro particle image velocimetry (μPIV). Integration of Machine Learning