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management and machine learning. Our research focuses on how core data systems can enhance AI, and how AI can improve the scalability and intelligence of data infrastructures. We’re looking for a motivated
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, economic growth, inequality, and culture. The project draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning
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modules that embed AI and/or machine learning within core curricula, employing tools being deployed in legal practice in Australia and/or abroad Undertake excellent, original research in law and technology
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draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
PhD in seismology, geophysics, computer/data science, or planetary science. You will have demonstrated expertise in global seismology, particularly relating to the Earth’s core, core–mantle boundary
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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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
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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with a strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
on science, medical and societal applications: Design Automation Embedded and Cyber-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability