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species, and the emergence of previously unseen classes. Recent advances in remote sensing and machine learning provide new opportunities to address these challenges, but most current approaches
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision The Fusion Engineering Centre for Doctoral Training (CDT) PhD Research Project
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infrastructure inspection tools. Working in well known internationally acoustic group at the University of Sheffield, you will embark on developing an approach of remote acoustic sensing of defects invisible
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to balance ecological benefits, enhance urban resilience in the face of climate change, and harness GIS and remote sensing-based technological advancements. The detailed research topics can be one
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encompassing terrestrial and non-terrestrial environments. The 6G network will have new capabilities such as joint sensing and communication for precise location finding and network optimisation. In wireless
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to inform farmers of varying soil conditions through traditional remote sensing techniques. Instructions for applying can be found on the website https://www.sheffield.ac.uk/postgradapplication/ with
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postholder will work collaboratively with a second KTP associated employed by City St Georges University, London. The associate will be required to travel and work remotely at different sites in the UK