131 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" PhD positions in United Kingdom
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cooperation. By analysing governance structures, power dynamics, and collective-action challenges, it situates biodiversity outcomes squarely within the political processes that shape global environmental
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structures, demonstrating the ability to engineer the membrane shape. They will test the effect of using their structures in selected devices. The student will be trained in wet lab techniques and advanced
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collected regularly from sewage-impacted rivers and from properties affected by flood events. Data will be analyses using advanced bioinformatics to characterise community structure, resistance genes and
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. This is a 3.5-year PhD position based in the Structured Light Lab, within the Department of Physics and Astronomy at the University of Exeter (Streatham campus, Exeter). The Structured Light Lab is led by
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and
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an adhesive heavy application, and to find methods for End-of-Life disassembly. Battery pack construction uses adhesives to fix multiple cells in place, creating a block of battery modules. The adhesive has
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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, and data-intensive processing, with real-world applications across aerospace, energy, and infrastructure. Aim This project will pioneer the first-generation structured light projection robotic system
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. Current XAI methods are often generic and overlook industrial realities. This project will embed user-centric explanations directly into machine learning workflows using structured, ontology-driven