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opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
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- Strategic Element Closing date: Closed Grants and lecture funding Global Talent Attraction Program – Candidate Merit Pool (Round 1) Closing date: 29 August 2025 Closed Early-Career Award Gottschalk Medal
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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
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, from swarm robotics to mesh networks. The prototypical model system for the investigation of self-organised task allocation are social insect colonies, such as bees and ants. They are able to distribute
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 5 hours ago
events and provide copy to Charles Sturt Global. Create a 5-minute presentation with voice over on completion of my program to distribute online and electronically and provide copy to Charles Sturt Global
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distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 5 hours ago
events and provide copy to Charles Sturt Global. Create a 5-minute presentation with voice over on completion of my program to distribute online and electronically and provide copy to Charles Sturt Global
-
of robust QoS metrics for medical applications known to perform poorly with established QoS metrics. We would also like to explore the geographical distribution of available services in Australia, and where
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at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied as the underlying data distributions change constantly and the same models are not valid. Hence, we need