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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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algorithms will turn these high-resolution insights into searchable, verifiable databases, seeking to better inform assay decision making. Applicants should have (or expect to be awarded) a good UK Master's
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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