759 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" PhD scholarships in United Kingdom
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(Studentship code MSP108) Data structures and postprocessing for phylogenetic MCMC (Studentship code MSP109) Time-changed MCMC for complex sampling (Studentship code MSP110) Statistical learning for extreme
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Project Overview Under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex, this project will examine how the size and structure of the global human
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access, how governance structures shape policy outcomes, and how future climate conditions will affect resilience. Mixed-methods approach will be adopted, including hydrological and infrastructure
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design and transformation, ontology engineering and knowledge representation, construction management and digital construction, sustainability in the built environment and climate change, and project
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storage systems, such as adsorption chillers and thermochemical heat storage units Structure–property–performance relationships governing gas uptake, heat storage capacity, and cycling stability
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fluids within the porous structure of sedimentary rocks. These processes are critical for both conventional open-loop geothermal developments and engineered systems, including closed-loop configurations
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Materials Research
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to develop novel multifunctional polymer-based composites for (soft) robotics, focusing on bio-inspired tactile sensing skins, actuators, and adaptive structures. By creating lightweight, stretchable, and
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water systems. Key questions will address how upstream management influences city-level water access, how governance structures shape policy outcomes, and how future climate conditions will affect
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private. This PhD will focus on three strands of work: 1) Innovate NILM model structures. Design efficient neural network architectures for both aggregator and client models that meet strict accuracy