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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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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
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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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- including entrepreneurship – needed to develop and support implementation strategies that addresses the prevalence of micronutrient deficiencies in Europe as diets shift toward more plant-based foods
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- including entrepreneurship – needed to develop and support implementation strategies that addresses the prevalence of micronutrient deficiencies in Europe as diets shift toward more plant-based foods
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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
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stormwater) are a sustainable solution, but their long-term performance often suffers due to generic design approaches that overlook plant ecology and the interaction with soil structure development. This PhD