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qualification check and may include a criminal history check. Role Enquiries: Associate Professor Darrell Kemp at darrell.kemp@mq.edu.au Applications Close: Thursday 13 November 2025 at 11:59 p.m. (AEDT
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Apply now Job no:535933 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate One of Australia’s leading research & teaching universities Vibrant campus life with a
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
advances understanding of Pacific state, society, and governance is highly desirable. Enquiries To enquire about this opportunity, please contact the Head of Department, Associate Professor Sonia Palmieri, E
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Professor Shalini Arunogiri, c/- Tegan Humphrey, Tegan.Humphrey@easternhealth.org.au Position Description: Research Fellow - Implementation Science in Mental Health and Addiction Applications Close: Thursday
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computing research and hosts the ARC Centre for Quantum Computation and Communication Technology. Major nodes of two other ARC Centres: Exciton Science; and Future Low-Energy Electronics Technologies are also
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. The Postdoctoral Fellow will have a unique opportunity to be part of this world-leading and agenda-setting research program. The Discovery Postdoctoral Fellow will report to Professor Lucas Lixinski (Law & Justice
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-object tracking, trajectory reconstruction, and error reduction. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research
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collaborate with engineers and partners to translate innovations into production-ready solutions. About you Tertiary degree in Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related
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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise in computer vision and machine learning, including object