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in Dynamical Systems and Stability Theory who has: a Ph.D. (or near completion) in Mathematics or a related discipline research experience in dynamical systems, including spectral or stability analysis
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This project focuses on simulating the organic growth of criminal communication networks by leveraging techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic
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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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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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internally at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms explore how artificial
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science? This project uses game theory and computational models to study science as a social system. The precise question will be developed with the student and could focus on publishing, peer review
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Machine learning is moving beyond centralised data and single models. Deep variational and decentralised learning sit at the frontier of this shift, and the theory that underpins them is still being written
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support to staff/students, including those based offshore. Monitoring the service desk queue and providing timely resolution of IT issues. Supporting application management, including Canvas, student
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Full-time continuing opportunity Prestigious Chair dedicated to Jurisprudence, Legal theory and the Philosophy of Law Offering a competitive Academic remuneration package including 17
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the Australian Research Council and UNSW Sydney. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory