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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 9 days ago
, Biology, Chemistry, Earth Sciences, Environment and Society, Mathematics, Physics, and Science Communication and is also home to a number of cross-disciplinary and specialist Institutes and Centres. Staff
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Job no:521249 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences Join a top-ranked department known for excellence in teaching and research. Work on a prestigious
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based at other campuses of the University About the role As Assistive Technology Specialist, you will play a key role in supporting equitable access to learning and research by providing expert guidance
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19 Sep 2025 Job Information Organisation/Company UNIVERSITY OF ADELAIDE Research Field Computer science Engineering Engineering Mathematics Researcher Profile Leading Researcher (R4) Country
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future crop breeding and protection. Your high-level duties will include: Lead and inspire diverse science teams to deliver high-impact projects within Agriculture & Food’s Crops Program, fostering a
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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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the School of Computer and Mathematical Sciences. The successful candidate will be an outstanding researcher in pure mathematics with strong plans for future research and broad experience in teaching and
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available for a passionate and experienced Academic to join our team within the College of Science and Engineering as a Lecturer/Senior Lecturer, Mathematics. Full-time; continuing Academic Level B or C
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 12 days ago
technology applications. It is expected that the selected candidate will collaboratively work together with crystallographers, materials chemists and physicists, electron microscopists, computational
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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