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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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align with future aviation applications. This project will contribute towards de-risking the development of future aero engines by delivering robust design tools and guidelines for highly integrated fuel
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propulsion systems through their Hydrogen Demonstrator program. This partnership provides a unique industrial environment, ensuring that research outcomes directly align with future aviation applications
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pioneering hydrogen propulsion systems through their Hydrogen Demonstrator program. This partnership provides a unique industrial environment, ensuring that research outcomes directly align with future
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increasingly important. The aim of the project is to explore the collaborative dynamics of agents within eCPS, with a specific focus on aligning their behaviours towards achieving sustainability goals. Cranfield
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools