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computational methods for modelling social dilemmas that can account for real-world complexity in agents’ behaviour. We will build on novel computational techniques to produce realistic enough models that can be
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Computational drug discovery Primary supervisor Geoff Webb Research area Data Science and Artificial
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leading research program in ecology in any of its forms and contribute to the education program of the School of Biological Sciences in areas broadly related to your expertise. As a Senior Lecturer you
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are seeking a Research Fellow to contribute to a project funded by the Australia Economic Accelerator (AEA) Ignite program, focusing on the design and integration of a novel point-of-care diagnostic platform
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
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significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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Research Doctorate and Research Masters degrees. As part of this program, a RTP Stipend (living allowance) is available to help support domestic and international students with living costs whilst studying
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation