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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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for rare or threatened animals (the “long-tail” problem). Moreover, current models give little indication of when they might be wrong, restricting their use in conservation. This PhD will tackle both issues
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promise adaptability, resilience, and safety, yet remain tethered to bulky compressors and electronics. This project proposes a radical alternative: locomotion generated by coupled fluidic oscillators
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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software-defined radios (SDR) and Aerial platform, antenna systems. Funding This self-funded PhD opportunity is open to Home and Overseas fee status students. Eligibility for Home fee status is determined
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the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
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Join us for this exciting self-funded PhD studentship on " Development of Sustainable and Cost-Effective Coatings to Mitigate Battery Thermal Runaway Propagation" in collaboration with
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to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You work on your dissertation project and towards its timely completion. The focus
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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, our project seeks to bring self-learning to LLMs. But there’s a catch—unlike Go, there’s no easy way to score an LLM’s conversational move. In Go, the score is clear. In open-ended language games? Not