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Field
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using assisted reproductive techniques (ARTs). Building on previous projects, this work aims to apply a holistic approach working with WBFSH and industry stakeholders to to generate a profile of current
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their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
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) alter resistance mechanisms. Use high-throughput screening and biofilm models to identify conditions that reduce multidrug resistance (MDR). Build a systems-level understanding of how these mechanisms
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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uncertainty, modality dropout, and noise propagation, which can degrade robustness and erode trust in model outcomes. This project aims to create a unified framework for building lightweight, data-efficient
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. Many novel concrete technologies and mixes are not currently covered by building codes, and it takes considerable time to include new technologies in codes and standards. Lack of routes to validation
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. Understanding of Crassula’s impacts on invertebrates, which make up the bulk of freshwater diversity, are more limited. Our work suggests that whilst Crassula invasion changes community composition and function
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Location: Harrison Building, Streatham Campus, Exeter Please direct project specific enquiries to: Ievgeniia Kovalska, i.e.kovalska@exeter.ac.uk Please ensure you read the entry requirements
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assessment, and forecasting its future states. Together, these technologies can significantly enhance safety, reliability, and design optimization to make hydrogen-powered aviation both viable and certifiable
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understanding and design, at speed. What you’ll do Build an AI + physics assimilation pipeline that super-augments sparse measurements. Compile and critically evaluate an experimental database. Compile