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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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of Research Excellence in Paediatric Palliative Care. The PhD program involves the design and conduct of a Discrete Choice Experiment (DCE) to explore how consumers prioritise different elements of paediatric
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From smart cities, data-driven health and social services, to digital economy, safety and security and digital government, Data61 create data you can trust. Data61 PhD Scholarships and Data61 Top-Up
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scholarship provides a total benefit of $5,000 up to a maximum 1 year, paid as a one-off lump sum payment. Supervisor: N/A Available to: Domestic and International students Either PhD or MPhil Eligibility
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across all areas. PhD candidates under this program are connected with academic supervisors and industry-based researchers, to co-design innovative, applied research projects. Through their doctoral
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Application dates Applications close30 June 2025 What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3 years while undertaking a QUT PhD. This is the full
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We are seeking an outstanding candidate for a PhD project as part of a larger Australian Research Council DECRA Fellowship entitled ‘Tackling the consumption of sexual violence on screen’, led by
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We are seeking one outstanding candidate for a PhD scholarship to work on a project entitled: Human-Centred AI EdTech: Promoting Reading Engagement and Emotional Well-being in Children