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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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in validation on EV cells. Applicants are required to self-fund their fees and living expenses during the study period. Thermal runaway in lithium-ion battery packs poses critical safety challenges in
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to work efficiently within a small airport team including Operations, Safety, Air Traffic Control, Engineering, Fire Fighting, and FBO sections, whilst prioritising safety. About Cranfield Airport
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, and we have been driving innovation for over 40 years. You will contribute a major UKRI-funded programme, tackling one of the most urgent global health challenges. The successful candidate will join a
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will handle real human waste samples to develop robust protocols for solid and liquid waste characterization, microbial profiling, and safety validation, including pathogen screening. Focus areas include
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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maintenance. Focusing on key challenges such as motion-induced discomfort, fatigue, and safety risks during crew transfer vessel (CTV) transits, the project will integrate ISO 2631-1-based vibration exposure
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute