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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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intellectual disability associated with either a rare genetic syndrome or a co-occurring condition such as autism. People with moderate-profound intellectual disability and complex needs are at high risk for
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carbon fibre reinforcement. This is a complex thermos-chemical-flow process which is difficult to model and to monitor which has a major impact on production time and product quality. We have developed
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. With the global goal of achieving net zero emissions, energy systems are transforming with a rising share of renewable energy generation and the spreading deployment of low-carbon energy technologies
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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, e.g. temperature, but do not know how BVOC emissions will respond to increased atmospheric CO2. For example, will BVOC emissions track the increases in net primary productivity and tree growth observed
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From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repectitive, or chronically understaffed. To be truly useful
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inconsistent. This is often because current approaches focus on adding lots of microbial diversity rather than identifying the specific microbial functions and network interactions that truly drive plant
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essential for identifying ecological tipping points and forecasting climate change impacts in complex marine ecosystems. This project will apply a multi-level approach (molecular, physiology and ecology
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models that represent and reason about complex biological systems, enabling predictions and interventions that can alter system behaviour in desired ways. For example, why do cells respond differently