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fundamental research and real-world use cases, ensuring that AI-enhanced human decisions and autonomous systems are effective, safe, and trustworthy in sectors critical to society. This PhD project will
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transition to Net Zero by 2050. Shallow geothermal energy is heat stored below the ground resulting from solar energy absorbed by the earth, which is typically harnessed through the use of ground source heat
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of world leading impactful research. We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models
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constraints. The project will explore orchestrating reasoning models, vision-language models, world models and efficient control policies for reliable robot behaviour. A key focus is deciding when to deliberate
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scientific knowledge, such as physical laws, differential equations, and domain-specific constraints, to model, simulate, and understand complex systems. The project will explore modern SciML methods
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and Earth-observation datasets. Developing AI models for predicting and mapping old-growth forests, key biodiversity habitats, and other ecologically relevant forest characteristics. Incorporating
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at large. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
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In this project, we develop a new mathematical framework to efficiently model multivariate systems during extreme events like floods, heatwaves, or financial crashes. This PhD position offers a