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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and regularly disseminate and explain
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