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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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experience in machine 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
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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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management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in
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, languages and social sciences. The Postdoctoral Research Fellow in Indonesian History sits within the School of Philosophical, Historical and Indigenous Studies which undertakes teaching and research in
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Application Deadline 28 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
psychometric equivalence across languages and contexts. Collaborate with computer science colleagues to develop novel personality instruments for unstructured text data. Position Overview This post-doc
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
language models and using larger scale computing infrastructure for affective computing or applications in psychology. We are looking for someone who likes challenging problems and encourages team members
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competency in assessing data systems, workflow optimisation, data interoperability challenges in an applied field. High level written and oral communication skills with the ability to represent the research