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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
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data management processes and techniques, building and running data analysis tools and pipelines, machine learning and AI techniques and tools. Position description: POSITION DESCRIPTION [Research
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of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available About the position We are seeking a Research Fellow with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
conference presentations. You will be able to work both independently and as part of a diverse research team. Experience with machine learning, array seismology, or planetary mission data analysis (such as
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). Advanced skills in statistical analysis and modelling using tools such as R, Excel, Redcap, and related software. Demonstrated experience in AI or machine-learning applications and a passion for
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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development. Familiarity with software development lifecycle including design and documentation of software architecture, testing/debugging skills, and version control. Experience applying machine learning
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University of Adelaide’s Australian Institute for Machine Learning (AIML) are actively interested in advancing leading research and development of AI). The now established Responsible AI Research (RAIR) Centre
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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
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architecture, testing/debugging skills, and version control. Experience applying machine learning, artificial intelligence, or statistical modelling techniques to digital forensics, online surveillance, or large