Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of New South Wales
- Monash University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- Australian National University
- Curtin University
- The University of Western Australia
- CSIRO
- UNIVERSITY OF ADELAIDE
- University of Sydney
- Federation University Australia
- Macquarie University
- RMIT UNIVERSITY
- University of Tasmania
- WESTERN SYDNEY UNIVERSITY
- 7 more »
- « less
-
Field
-
The University of Adelaide is seeking to appoint an academic research leader of international standing to join the Australian Institute for Machine Learning (AIML) as a Professorial Research Fellow
-
machine learning to create improved reconstructions of the ice sheet. This role is based in Hobart, Tasmania and visa sponsorship and relocation allowances may be considered for the right candidate. What
-
Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
-
at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with
-
providing lifelong learning, skills, and research locally, regionally, and globally. With University and TAFE campuses in Ballarat, Berwick, Gippsland, and the Wimmera we are positioned to provide pathways
-
geometry, and/or data science. Specific topics of focus include, but are not limited to, linear response, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
-
with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
-
Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object
-
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
-
Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research