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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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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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levels of Cu, Mo, Ni & Sn. Direct comparisons will be made with experimentally identified phases from high throughput samples. Subsequent characterisation will be performed using a combination of scanning
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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Background: The impact of diet on mental health and brain performance is a topic of growing focus and concern: diets rich in saturated fats have been associated with a significant risk for cognitive
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biology: Do independent mimicry rings rely on the same genes to produce colour patterns, or are there different solutions each time mimicry evolves? Research Methodology You will work with existing high
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materials will be designed for two game-changing applications: 1. High-performance electrical insulation for next-generation electric machines and power electronics used in transport and energy systems. 2
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materials for low-emission ammonia conversion. Perform both experimental investigations and computational simulations of the combustion process. The outcome of this project will demonstrate the feasibility
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— positioning you for careers in academia, research, or high-value industries. Join us to explore how microstructure shapes performance and help drive the future of sustainable turbine technologies. Applicants
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transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The