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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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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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development and technical stewardship of our enterprise-wide Ellucian ecosystem. This pivotal role sits at the heart of our SMS Transformation (SMS-T) agenda, empowering you to make a tangible impact on the
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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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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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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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to access leadership and community engagement opportunities and to support the development of emerging engineering leaders to encourage these talented individuals to enter the mining industry upon completion