Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- University of New South Wales
- The University of Queensland
- University of Sydney
- RMIT University
- Curtin University
- Macquarie University
- Queensland University of Technology
- CSIRO
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- The University of Newcastle
- UNIVERSITY OF SYDNEY
- ADELAIDE UNIVERSITY
- RMIT UNIVERSITY
- Flinders University
- Imperial College London (ICL)
- La Trobe University
- MASSEY UNIVERSITY
- Murdoch University
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- Swinburne University of Technology
- University of Melbourne
- University of Southern Queensland
- University of Tasmania
- 14 more »
- « less
-
Field
-
/or relevant work experience. Relevant disciplines may include transport engineering, computer science, artificial intelligence, data science, machine learning, operations research, mathematics
-
computer science, information technology, artificial intelligence, machine learning, software engineering, computer/electrical engineering, or a closely related discipline. This PhD project is part of a
-
, machine learning, and multi-omics technologies to drive discoveries that have the potential to transform cancer diagnosis, treatment, and patient outcomes. This is an exceptional opportunity to create
-
Science, or a related discipline, with a focus on the application and/or development of technology. Candidates with a PhD in Computer Science, Machine Learning, and/or Artificial Intelligence may also be
-
limited to ordinary machine-learning evaluation where models are tested only on clean datasets. It is also not just a general cybersecurity project disconnected from healthcare. The security problems
-
strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large
-
for Academic Performance . About You You will demonstrate: Completion of a PhD in computer science, cyber security, human-computer interaction, or a closely related discipline with a focus on privacy, provenance
-
strongly encourage candidates with relevant teaching and research experience in one or more of the following areas to apply: Artificial Intelligence, Machine Learning, Neural Networks, Generative AI, Large
-
Workflow Language). Experience using data processing environments and platforms (e.g. NCI, ARDC Nectar Research Cloud, JupyterLab, Neurodesk) and with machine learning (Torch/PyTorch). Clear communication
-
PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction