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hydrogen, ammonia, methanol and advanced biofuels into vessel operations while maintaining performance, safety and reliability. This PhD project will develop lifecycle and systems‑level models that track
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systems with "self-diagnosis" and "self-healing" capabilities. By integrating federated learning, graph neural networks, and blockchain technology, we will develop a framework that moves beyond static
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biology approaches to develop rapid, low-cost, and field-deployable tests for detecting quarantine pests/pathogens. You will evaluate technologies such as CRISPR-based systems, strand displacement reactions
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have implications for food security and conversation. The successful student will explore innovative synthetic biology approaches to develop rapid, low-cost, and field-deployable tests for detecting
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programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
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dispersal may also represent a significant introduction route for insects. This project aims to develop and apply quantitative methods to assess wind-borne dispersal risk for a range of pests of concern to GB
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motivated, creative, and curious PhD candidate excited to bridge disciplines and co-develop this research. You will join a collaborative and internationally active Regenerative Engineering Group, with scope
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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accountably. This is where you come in. Your mission Working at the intersection of privacy research and real-world engineering, you'll design and build a computational stewardship engine—an autonomous agent
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sequencing technologies (such as nanopore sequencing) has enabled the discovery and analysis of complex regions of the genome for the first time. Novel long read sequencing approaches developed in the Ryan