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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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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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tweezers combined with fluorescence imaging to directly visualise nucleic acid sensor interactions with DNA and RNA substrates under applied force. These real-time, quantitative analyses will reveal how
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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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, enhanced sensors, anti-fouling protection and much more. Going beyond existing work using expensive fabrication of planar 2D metamaterials, this project explores routes to use nano-assembly to create 3D
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, optoelectronic, neuromorphic; Scale-up and Systems - Nanomanufacturing, cellular manufacturing, sensors /actuators, bioelectronics, IoT, theranostics; Frontiers in Nano-Metrology - in-situ nanometrology, electron