23 modelling-complexity-geocomputation Fellowship positions at University of Nottingham
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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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We are developing groundbreaking robotics technology to extend robotic surgery to previously inaccessible parts of the complex industrial structures such aeroengine, enabling repair and inspection
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