Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Swinburne University of Technology
- The University of Queensland
- University of Sydney
- Monash University
- RMIT University
- University of Adelaide
- Macquarie University
- UNIVERSITY OF MELBOURNE
- Curtin University
- Nature Careers
- University of New South Wales
- ;
- Australian National University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- RMIT UNIVERSITY
- The University of Western Australia
- Torrens University Australia
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Melbourne
- 9 more »
- « less
-
Field
-
. Selection Criteria Level A 1. A PhD in Remote Sensing, Plant phenotyping, Computer Vision, Machine Learning, or a related field. 2. Strong experience in image processing and computer vision, particularly
-
You Completion or near completion of a PhD in the computer science or relevant field. Demonstrated experience with multi-modal imaging (RGB, thermal, spectral) and 3D data acquisition (e.g., LiDAR
-
the future of the Queensland Brain Institute (QBI). The Director plays a pivotal role in shaping neuroscience research in Queensland and beyond, developing and implementing a strategic vision that positions
-
to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience. This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational
-
, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
-
-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
-
Position Number: 0065812 Location: Parkville Role type: Full-time; Fixed-term until 23 December 2026 Faculty: Science Department/School: Mathematics and Statistics Salary: Level A - $83,468
-
delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as required. Monitor, track and report on
-
delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as required. Monitor, track and report on
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own