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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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the possibility of renewal. A commitment to attending 8 meetings per year, plus additional follow-up reviews and training sessions. What you bring Effective interpersonal and computer skills. Ability to read large
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as networks or graphs in the hope of reasoning about them - but the tools that we have for understanding such network structured data (whether algorithmic analytics or visualisation tools) remain crude
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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leader of a new nanophotonics laboratory led by Prof. Stefan Maier at Monash, my team will have the opportunity to work with colleagues from an interdisciplinary environment and collaborators around the
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Ethics Committee is seeking a volunteer wildlife animal welfare representative. The School of Biological Sciences is interested in all forms of life, the interactions between the environment and genetics
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experience, this is an opportunity to contribute to a national program shaping the future of dementia care across Australia. You'll work closely with a supportive and collaborative team of registry experts
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challenging data problem. Weak signals from collisions of compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms