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Field
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area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports
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will also be provided. Overview This project will develop an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Multimodal artificial
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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an adaptable Machine Learning (ML) hardware architecture to solve Artificial Intelligence (AI) classification tasks using Internet of Things (IoT) sensor data. This will be a small system-on-chip designed
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focuses on developing and applying digital technologies such as additive manufacturing/3D printing, numerical modelling, artificial intelligence, automation and robotics, digital twins, and smart materials
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a duration of 3 years. Due to the highly interdisciplinary nature of the position, the hired candidate will be part of both the section of Artificial Intelligence, Cybersecurity, and Programming
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
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Methods and Artificial Intelligence for Assessing the State and Functioning of Ecosystems across Scales Spatio-temporal modelling of remote sensing data for monitoring geohazards in dynamic landscapes
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Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in statistical and