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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 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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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Classification: Academic Level B Salary package
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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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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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will support the Creative Destruction Lab (CDL) program by managing the application and admissions process, including engaging with applicants, coordinating interviews, and assessing submissions
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and leadership Demonstrated advanced programming skills in Python and R (including frameworks such as PyTorch and TensorFlow). Experience using/applying advanced AI techniques including large language
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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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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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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