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). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements
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Student Ambassador Program, Academic-Student Mentoring, and option to participate in other extracurricular activities. Total scholarship value Up to $50,000 Number offered Unlimited See details Khush Kohli
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traditional optimisation methods and modern deep learning techniques. Mixed integer linear programming is a successful discrete optimisation methodology but it is incompatible with deep neural networks, which
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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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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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context for monologue and multi-party bilingual dialogue translation [1,2, 3], capitalizing on the flexibility and expressive power of deep learning and neural networks. In this project, we will push the
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following criteria: Must be enrolled to commence in, or hold an offer for one of the 3 listed IT single degree courses: Bachelor of Information Technology (C2000) Bachelor of Computer Science (C2001) Bachelor
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networks, I’ve been able to broaden my knowledge and skill set. It has provided a sense of security and motivation to continue striving for success in my field. Am I eligible? You must be one
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variables such as network connection strengths between neural population networks underlying brain activity. We work with different physiological data modalities such as intracranial and scalp
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neurophysiological variable estimation framework we have been developing that can be applied to all kinds of brain activity recordings. There are two projects to be completed under this program and we are looking