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to deliver robust, scalable solutions that will eventually be integrated into widely used scientific software libraries. The successful candidate will join a dynamic research environment and gain access
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to determine what type of heat therapy protocols are well tolerated and can be well integrated into people’s life. Therefore, this programme of study aims to develop practical and feasible heat therapy protocols
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We are recruiting a PhD student to integrate data-driven methods with NMR spectroscopy to enhance the characterisation of cell culture media and metabolites, increasing throughput and reducing
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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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AI technologies. As NLP becomes more integral to applications like personal assistants (Siri, Alexa), chatbots (such as ChatGPT), and generative AI, the stakes are higher than ever. Ensuring
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. Improvements made will also reduce maintenance demands and extend asset lifespans, contributing to environmental and financial benefits. Integration of smart sensors will also transform gullies into IoT-enabled
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in neuroscience, 4th for the number of publication outputs in top 5% citations in neuroscience, and 4th for top 5% citations in neurology. Our academic and research staff are integral to our school
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databases. Integrating image- and text-derived datasets poses challenges due to differences in scale, structure, and accuracy, requiring robust data fusion and validation. By combining these AI-derived trait
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moisture, and CO₂ levels. The proposed research will design an autonomous SPS node integrating bespoke energy harvesters (electromagnetic or piezoelectric) with sensors. The final deliverable will be a
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recent decades the interest in green hydrogen has increased rapidly. Between 2025 to 2030, there is an opportunity for hydrogen to become an intrinsic part of the global integrated energy system. However