Sort by
Refine Your Search
-
Listed
-
Program
-
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
-
contribution of 17% superannuation applies. Full-time, fixed term position for 24 months. Building your career at the Australian Institute for Machine Learning (AIML) offers many rewards. AIML is Australia’s
-
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
-
Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects at the Centre for Augmented Reasoning
-
of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available We are seeking a Research Fellow with experience in machine
-
within a ‘Group of Eight’ University! The State Government of South Australia, CSIRO and the University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing
-
making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
-
allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
-
Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
-
). Proficiency in numerical modelling, data analysis and instrument control in languages such as Matlab, Python, C/C++, etc. Familiarity with sensor technologies and applications, machine learning, and electronics