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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co
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will have the difference between the UK and International tuition fees provided by the University. How to Apply: All applications should be made via the 'Apply' button above. Under programme name, select
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the 'Apply' button above. Under programme name, select School of Architecture, Building and Civil Engineering. Please quote the advert reference FCDT-26-LU8 in your application. This PhD is being advertised as
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the ‘Our project-based studentships’ section on that page All applications should be made online via the above ‘Apply’ button. Under Campus, please select ‘Loughborough’ and select the Programme “School
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should be made online . Under programme name, select School of Architecture, Building and Civil Engineering. Please quote the advert reference FCDT-26-LU9 in your application. This PhD is being advertised