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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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site approvals Developing briefings, position papers, presentations and project documentation Coordinating meetings and providing executive support to project committees Liaising with internal and
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Coordinator, you’ll be key to Climateworks’ mission to shift Australia’s public policy and climate action. You’ll work across our systems teams to facilitate and support development of the insights, evidence
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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to concentrate on my academics and professional development. My professional path has been greatly influenced by the opportunities it has created for skill development, including networking events and involvement
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optimisation Large-scale data processing Intelligent and educational analytics Rather than replacing classical systems, the project will develop hybrid architectures where quantum components assist specific
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is
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or academia in an under-developed domain. You will, therefore, need to have an honours degree or Masters in psychology or a related social science field (e.g., business studies, criminology, sociology
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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve
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This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof). One potential area of