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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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heat flux. Design, modify, and test novel heating surfaces that more accurately replicate industrial conditions. Develop advanced post-processing methods to extract key local quantities associated with
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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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respond to intense rainfall and enhanced sediment transport. The successful candidate will develop advanced skills in geomorphology, hydrology, environmental data analysis, and climate resilience
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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This project aims to bring together evidence from climate projections, risk assessment and observations to develop and evaluate event-based storylines based on recent flooding in Leicestershire, UK
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made online . Under programme name, select Department of Materials. Please quote the advertised reference number: MP-JC-2522 in your application. To avoid delays in processing your application, please
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, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
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international tuition fees provided by the University. How to Apply: All applications should be made online via the above 'Apply' button. Under programme name, select ‘School of Architecture, Building and Civil
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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