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candidates with a first-class honours bachelor's degree may be considered Strong interest in laser physics, photonic integration, and/or free space optics Good laboratory skills and willingness to learn new
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate
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