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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 4 hours ago
, corpus linguistics, statistical analysis, web development. Confidence with at least one programming language is essential. The successful candidate will: Build their technical capability in one or more
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 4 hours ago
reshaping our future to address the region’s challenges. As a global leader in Asia Pacific studies in humanities and social sciences, CAP combines disciplinary depth, language teaching, area studies, and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
Employment Consultant on indigenous.employment@anu.edu.au ANU is a large, diverse employer. We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum
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for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
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doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area of soil science, such as Human Computer Interaction, User Experience and Engagement
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing
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Systems and Safety Research (CHSSR), one of the core research centres within Australian Institute of Health Innovation, has a multi-stream program of research which focuses on investigating the outcomes and
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming