Sort by
Refine Your Search
-
Listed
-
Employer
- University of Sydney
- The University of Queensland
- Monash University
- University of New South Wales
- University of Adelaide
- Curtin University
- Macquarie University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- CSIRO
- UNIVERSITY OF SYDNEY
- Australian National University
- University of Tasmania
- UNIVERSITY OF WESTERN AUSTRALIA
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- UNIVERSITY OF MELBOURNE
- Deakin University
- James Cook University
- The University of Western Australia
- Australian Catholic University
- Australian Catholic University;
- CURTIN UNIVERSITY
- DEAKIN UNIVERSITY
- FLINDERS UNIVERSITY
- Flinders University
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- RMIT UNIVERSITY
- RMIT University
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- UNIVERSITY OF ADELAIDE
- 19 more »
- « less
-
Field
-
relationships. Evidence of highly developed interpersonal and organisational skills. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and
-
of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project seeking to determine how visual parameters are used
-
and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will
-
Health and Wellbeing. You will support Stephanie Partridge and the Youth Well Lab research team to achieve research objectives on projects aiming to minimise the harms and harness the benefits of digital
-
of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project seeking to determine how visual parameters are used
-
, including object detection, multi-object tracking, and segmentation. Evidence of leading research projects, teams, or collaborations, with measurable outcomes. Strong record of publications or equivalent
-
academic record. Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and segmentation. Evidence of leading research
-
detection, segmentation, and multi-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch
-
discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object detection, segmentation, and multi-object tracking in challenging conditions such
-
students. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment