Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of New South Wales
- Queensland University of Technology
- The University of Queensland
- University of Adelaide
- Australian National University
- La Trobe University
- Monash University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- University of Western Sydney
- 3 more »
- « less
-
Field
-
applies. 2 Fixed-term position available for up to 24 months. Flexible work arrangements can be negotiated with the right candidate. Be part of the Australian Institute for Machine Learning -- the largest
-
in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
-
collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
-
-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
-
the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades
-
experience contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality
-
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
-
), clinical trials, disease surveillance, and the use of novel methods including Bayesian network, machine learning, social network analysis and dynamic data visualisation tools. Further information is
-
and immunotherapy research, a well-established clinical trial network, and recognised leadership in producing industry-ready graduates. With strong expertise and experience in AI and machine learning