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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
computational methods across the HASS community. Applied Research: Develop your own applied research agenda using the HDRH and ANU HASS community as your proving ground. Future-Focused: Explore emerging
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 19 days ago
tools and methods. Produce high-quality research outputs including computer code, digital products, workflows, design processes, and journal articles. Ensure that Indigenous perspectives are integrated
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
. With guaranteed 5-year funding, you will employ seismic wavefield and correlation methods to map Earth’s core, explore its interactions with upper layers, and extend insights to the Moon, Mars, and icy
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focus on financial incentives designed to promote safer and lower carbon driving. In this role, you will contribute to the estimation and extrapolation of treatment effects from trial data, modelling
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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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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two
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Adaptation who has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record
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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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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