Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- University of New South Wales
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Sydney
- Monash University
- The University of Western Australia
- University of Adelaide
- Curtin University
- Macquarie University
- Flinders University
- FLINDERS UNIVERSITY
- RMIT University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- University of Tasmania
- Australian National University
- Deakin University
- James Cook University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SYDNEY
- CURTIN UNIVERSITY
- Federation University Australia
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- 15 more »
- « less
-
Field
-
Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to
-
among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working
-
scientist and information specialist with extensive experience in immunisation policy, relevant research methods, high-level literature searching and evidence-based practice track record in expanding
-
the Cancer Biobank and associated research activities. About you A demonstrable track record in excellence in research evidenced by peer-reviewed journal articles, participation in symposia and conferences
-
and track record of publications in reputed refereed journals and presenting at conferences. Evidence of seeking, obtaining and managing external research funding. A growing record of supervision
-
and development of computer vision and AI/ML models for traffic video analytics, focusing on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale
-
models, multi-object tracking, and post-processing methods to improve traffic video analytics in complex environments. Drive benchmarking, evaluation, and deployment optimisation of AI models, ensuring
-
product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
-
on detection, tracking, trajectory analysis, and robustness in complex conditions. Conduct large-scale benchmarking, optimisation, and deployment of AI models, ensuring research innovations translate into real
-
commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire