Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- The University of Queensland
- University of Sydney
- University of New South Wales
- University of Adelaide
- UNIVERSITY OF SYDNEY
- CSIRO
- Curtin University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Macquarie University
- UNIVERSITY OF ADELAIDE
- University of Tasmania
- Monash University
- The University of Newcastle
- WESTERN SYDNEY UNIVERSITY
- 4 more »
- « less
-
Field
-
PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
-
: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative
-
focuses on scalable, AI-driven decision-making in collaboration with defence industry partners and an academic partner at the University of Melbourne. One role focuses on machine learning for decision
-
relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
-
(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
-
journals, Supervision of PhD and undergraduate research students Make use of ice sheet models, machine learning and published field datasets to reconstruct the evolving post-LGM Antarctic Ice Sheet. Initiate
-
, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
-
Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
-
Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
-
a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in