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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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package on monitoring and simulation of neighbourhood-level energy performance using aerial thermography and ground-based measurements. Develop ML/AI based building heat transfer and loss, indoor
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and circular bioeconomy goals. Research Objectives The project aims to identify high-performing microbial species capable of efficiently converting mixed C5/C6 sugars into higher alcohols with excellent
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connect with nature. Their configuration, connectivity and interaction with surrounding land cover determine the extent to which they buffer heat, dilute pollution, support biodiversity and deliver social
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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fields for 3D reconstruction. This position provides an opportunity to collaborate with scientists from partner institutes around the world. You will also receive specialized training in high-performance
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orientation with compositional design, the project will reveal how directional control over framework domains influences charge transport, optical response, and catalytic performance. Applications include
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porous ceramic supports using desktop scale 3D printing for molten salt membranes. The advantages of these membranes include very high temperature stability, high mechanical stability and longevity
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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact
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targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test