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publications in top-tier venues, and collaborate with colleagues across disciplines. Your research projects will be implemented in collaboration with the Research Center of Intelligent Computing and Data Science
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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Professor Morten Kringelbach, is seeking a recognised authority in their field as a Senior Researcher to join and lead their interdisciplinary program in contemplative science, artificial intelligence, and
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in the area of economic inequality. The desired candidates should contribute to research in one of three areas: (1) use of LLMs and incorporation of artificial intelligence into inequality research, (2
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in the area of economic inequality. The desired candidates should contribute to research in one of three areas: (1) use of LLMs and incorporation of artificial intelligence into inequality research, (2
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months