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behaviour interventions, randomised control trials and longitudinal studies. As a registered psychologist, he has focused primarily on the behaviours of alcohol consumption, smoking, illicit drug use, mental
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Testing self-driving cars is extremely difficult, as one has to account for a very large space of possible scenarios. In this project, we will explore the application of automated testing techniques
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Research data governance is an under-explored issue, and technical infrastructures to support the transparency and control of data collected in human research studies (from medicine to social
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Addiction Studies and holds an NHMRC Leadership Fellow in the School of Psychological Sciences, Monash University. His research focuses on the cognitive and neural mechanisms underpinning executive control
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on this technology for its automated warehouses and fulfilment centres. The aim of this project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example
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the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of online criminal communications, exploring texts for automated understanding of intent, sentiment
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while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
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following failures of command or task execution by robots [Baker, 2018, Esterwood 2022, Park 2023], little work has been done to estimate the effects of direct disobedience on human-robot trust and joined
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interactions. In this research, you need to understand how spins interact with their environment and how to read-out and control single spins. This requires understanding of concepts like atom optics, magnetic
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broad range of topics: from model-predictive building control and community battery integration to wind farm optimisation and multi-decade investment planning, we support clever algorithms and data