97 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- University of New South Wales
- Curtin University
- Monash University
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- FLINDERS UNIVERSITY
- La Trobe University
- The University of Queensland
- University of Sydney
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- EDITH COWAN UNIVERSITY
- Macquarie University
- University of Adelaide
- University of Tasmania
- BOND UNIVERSITY
- CSIRO
- LA TROBE UNIVERSITY
- MONASH UNIVERSITY
- MURDOCH UNIVERSITY
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- The University of Western Australia
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- UNIVERSITY OF WOLLONGONG
- UNSW Sydney
- 18 more »
- « less
-
Field
-
(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
-
to simulate key optical features and explore optimal alignment of beamline components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment
-
staff position within a Research Infrastructure? No Offer Description Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through
-
staff position within a Research Infrastructure? No Offer Description Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through
-
evaluating the efficiency and accuracy of both physics-based models and machine learning techniques, leveraging high-performance computing resources. The role will involve collaboration with leading
-
problems Demonstrated commitment to quality assurance, compliance and continuous improvement Demonstrated experience in the use of a range of computer applications and the ability to quickly learn new
-
agricultural science with a quantitative focus (or an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and
-
, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. The Physics and Astronomy discipline at Curtin
-
University campuses About the Role Join us as a Senior Lecturer in Human–Computer Interaction and help shape the future of responsible, human-centred computing at our growing School. We welcome academics with
-
the next chapter of its evolution. The successful candidate will champion academic rigour, foster innovation in learning and research, and lead with integrity and collaboration. They will inspire high