84 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Australia
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Apply now Job no:537912 Work type:Full Time Location:Sydney, NSW Categories:Professional Leadership The Opportunity The ARC Centre of Excellence for Quantum Computer Performance and Integration
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-platforms-lab . About You (Selection Criteria) You are a motivated and collaborative early career researcher with a strong foundation in AI and machine learning, and a genuine enthusiasm for applying
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
and orchestration technologies for real-world logistics and decision support. Collaborate with leading experts in Artificial Intelligence and Machine Learning at ANU and Defence stakeholders. About the
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Machine Learning Services. An understanding of Industry recognised architectural frameworks – TOGAF. Demonstrated understanding of procurement practices. Integration architecture experience including iPaaS
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years. This role will develop and apply new machine-learning based approaches for extremely precise radial velocity studies and exoplanet spectroscopy with the NEID, HPF, and MARVEL facilities, and pursue
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to coordinate procedures and teaching resources Part time (0.8FTE), fixed-term (2 years) role based in Launceston About the opportunity Support quality learning and teaching to enhance the student experience and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
verification, theory of computation, formal methods, human-computer interaction. Intelligent Systems: artificial intelligence, machine learning, computer vision, natural language processing, robotics Data
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Professorial Research Fellow in Artificial Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge
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and knowledge in finance operations and principles. Computer Literacy: Proficient in Microsoft Suite and financial systems. Adaptability: Quick to learn new systems and processes, with a proactive and
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clients and stakeholders, and to build relationships with customer groups Demonstrated experience in the use of a range of computer applications and the ability to quickly learn new technologies, including