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habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will build next-generation, process-based models to predict how real populations respond to complex
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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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mathematics, physics, engineering or subsurface flow modelling. Enthusiasm, willingness to learn, and the ability to think creatively about complex physical systems are just as important as specific technical
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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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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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, 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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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
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disciplines to tackle complex environmental issues and deliver innovative solutions. Gain real-world experience: Take advantage of placement or internship opportunities with external partners to build networks