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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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globe are under pressure from anthropogenic activities, such as the continued deposition of nitrogen, resulting in the loss of biodiversity and functionality. Quantifying biodiversity and ecosystem
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depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is
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. You will work in an interdisciplinary setting to identify microbial species, metabolites and genes that mediate microbiota–immune interactions, generating knowledge that can support future interventions
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Thermoplastic composites are widely regarded as promising materials for the next generation of commercial aircraft, combining excellent mechanical performance with low weight. In addition
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healthcare professionals and clinical teachers in work-based learning? Coaching is an integral part of postgraduate medical training, yet clear definitions of coaching in medical work-based learning are still
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based
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circular use of carbon resources? In this PhD project, you will investigate novel photochemical strategies for the synthesis and chemical recycling of polymers derived from renewable feedstocks. You will
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to make a direct impact on patient care. About your role During machine perfusion, donor livers can be maintained outside the body, creating a unique opportunity to assess organ quality and deliver targeted