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education (co-op) program in the country with students earning $88.8 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes
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fully resolved single-fracture simulations to large-scale discrete fracture network (DFN) upscaling. Your work will directly address high-value industry challenges in energy and resource systems. CML is
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completion) relevant to research area (immunology). Expertise in flowcytometry and/or fluorescent microscopy. High level of analytical capability, especially in the understanding and analysis of large data
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, large-grant project on the epidemiology of bovine tuberculosis in wild badgers, using state-of-the-art Bayesian modelling approaches to study the drivers of infectiousness and transmission of infection in
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analyst for an ARC South London study on multi-morbidity in children using CPRD data. The ARC South London Children’s and Young person theme is important as many children in south London experience high
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collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
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machine-learning or data analysis to massive datasets, scientists today rely on advances in and integration across applied mathematics, computer science, and computational science, as well as large-scale
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-making processes in relation to environmental, biodiversity and climate policies. This project will provide the first comparative empirical data on, and analysis of democratic reforms that expand
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they are also pivotal in the analysis, interpretation, and exploitation of Big Data in multidisciplinary challenges. Job Description We expect the succesful candidate to be able to contribute to two
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of Sydney and is close to other research centres, teaching hospitals, transport, shopping, and beaches. For further information about the school please visit www.psychology.unsw.edu.au The position plays a