Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Sydney
- Monash University
- The University of Queensland
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Macquarie University
- RMIT UNIVERSITY
- UNIVERSITY OF SYDNEY
- University of New South Wales
- CSIRO
- Flinders University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- James Cook University
- RMIT University
- University of Tasmania
- 5 more »
- « less
-
Field
-
Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
-
Research Infrastructure? No Offer Description Based at Australian Institute Machine Learning (AMIL), City East Campus 2 x Full-time, 2-year fixed term contracts Salary Range: $114,917 - $135,932 per annum
-
Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
-
on advancing AI technologies for space systems with significant national and global impact. Visit the AU website to learn more about the School of Computer and Information Technology . Our people Our people
-
industry to translate innovation into practical solutions. Visit the AU website to learn more about the School of Computer and Information Technology . Our people Our people are guided by purpose, curiosity
-
modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
-
econometrics and machine learning, is highly desirable. You are well-organised and capable of managing multiple tasks to meet deadlines, with excellent written and verbal communication skills for producing clear
-
, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
-
lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and