Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- University of Adelaide
- RMIT University
- University of New South Wales
- Curtin University
- Deakin University
- Flinders University
- Macquarie University
- RMIT UNIVERSITY
- Australian National University
- University of Sydney
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- James Cook University
- University of South Australia
- Victoria University
- La Trobe University
- Monash University
- Australian Academy of Science Research Funding
- CSIRO
- DEAKIN UNIVERSITY
- FLINDERS UNIVERSITY
- Griffith University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Queensland University of Technology
- UNIVERSITY OF ADELAIDE
- 15 more »
- « less
-
Field
-
Full time, fixed term for 1.5 years. Located on the Camperdown Campus at the University of Sydney Join the University of Sydney's School of Project Management Base Salary $127,436 - $151,328 + 17
-
for undertaking health services research and will manage and implement funded research projects while developing new research activities within the Caring Futures Institute. The incumbent will also contribute
-
Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
-
their research expertise through the pursuit of defined projects relevant to their particular field of research. The role of Post-Doctoral Fellow reports to Associate Professor Guangyao Si and has no direct
-
artificial intelligence and contribute to the supervision of postgraduate research students. In addition, the role requires effective project management to ensure outcomes are delivered to the required
-
development of micropropagation for vanilla, as part of a CRC-P industry linked project. They will organise and conduct experiments, manage project administration and reporting, coordinate with industry
-
are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
-
central role in the organisation and administration of the relevant project(s) within Professor Paul Hodges’ research group. The role includes engagement with the grant’s chief and associate investigators
-
commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
-
of the Fellowship is to develop deeper metallurgical understanding via characterization and modelling to underpin the design of alloys with smaller societal footprints. Three roles are on offer to address