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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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structure. This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental
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an exciting opportunity to join a leading research group within a Russell Group university, working at the forefront of artificial intelligence research with real-world impact. The studentship covers
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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This project aims to establish, for the first time, a direct correlation between magnetotransport properties and the underlying magnetic microstate in 3D artificial spin-ice (ASI) lattices. Using
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an ambitious and collaborative EPSRC-funded project (Artificial Intelligence X-ray Imaging for Sustainable Metal Manufacturing - AIXISuMM) which combines research expertise at Loughborough University
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technologies and artificial intelligence. What is ADAPT-AI? ADAPT-AI (Analysing and Diversifying Audience Participation with Creative Technologies & AI) is one of just ten AHRC-funded Doctoral Focal Awards in
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will be considered on a case-by-case basis. The scholarship is funded by G-Research. Research focus The PhD topic must focus on Artificial Intelligence (AI) in relation to the research areas of one