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PhD Studentship in Aeronautics: Real-time machine learning and optimisation for extreme weather (AE0073) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Climate change is
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PhD Studentship in Aeronautics: Smart Adaptive Materials for Soft Robotics Skins and Aero-robotic Applications (AE0076) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Soft robotics
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techniques for modelling and monitoring the infusion and curing process and this PhD will bring these elements together to form a digital twin of the process. This digital twin will be used to predict
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ultimately allow us to design robust, manufacturable, and effective passive flow control concepts using smart materials and geometries for the next wave of hypersonic flight. You will develop an end-to-end
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to address urgent challenges in animal conservation and welfare. However, existing technologies have mostly been developed for use in controlled laboratory settings and are often unsuitable for field
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. This PhD project will explore a novel approach: leveraging polymeric microelectromechanical systems (MEMS) technology to create a miniaturised micropump-based ingestible capsule that can actively deliver
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Engineering, Control Engineering, Physics or Mathematics (or equivalent) for appointment at Research Associate level and have previous experience in research and innovation in IBRs and power systems. You should
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control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous applications Programming experience in a compiled language (e.g. C, C++, Rust) Application Procedure
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deliver models and tools that enhance the stability and reliability of future low-inertia power systems. You must have a PhD in Electrical Engineering, Control Engineering, Physics or Mathematics
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always work well, and new solutions are very much needed. This PhD places you at the forefront of discovery, focusing on a key protein, ELAVL1, that controls inflammation at the molecular level. What makes