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completion of a PhD in geomechanics, energy engineering, geophysics, and/or geodynamics. An established record of scientific achievements in geomechanics and geomechanical numerical modelling, including
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computer vision models for real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range: Level C, $144,143 – $165,809 p.a. (pro-rata) plus 17% superannuation. About the
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
14 Oct 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Australia Application
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(or thesis submitted) in robotics, mechatronics, aerospace engineering, or a related field. Demonstrated expertise in robotic systems, UAV platforms, and embedded computing. Strong track record of publications
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, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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a Postdoctoral Research Fellow in Soil Science, you’ll play a role in research into the behaviour of recycled phosphorus fertilisers in soil. You’ll work within an innovative research program
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Job no:521360 Work type:Full Time Location:Crawley Categories:Arts, Business, Education, Law Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real
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, contribute to joint research projects and funding applications, and help develop an emerging research program with real-world impact. Translate discovery into change by publishing in high-quality journals
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a