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diversity can help assess vulnerability and guide conservation of VMEs. This project will advance our understanding of VME functional ecology and develop science-based indicators of ecosystem health, directly
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or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
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fees. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including
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ADM, one of the worlds largest food ingredient suppliers, this PhD program will explore the impact of novel milling technologies on microbial accessibility of carbohydrates in food ingredients. Using
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digesters. The process is stable, well characterised, and is being implemented at scale. It is central to NWL’s nutrient neutrality and net zero ambitions. However, the alga’s biology remains a black box
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
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associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing. This project is primarily computational and offers comprehensive