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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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(PSDM) techniques to reduce wiring complexity, and optimise signal demodulation algorithms for accurate, real-time battery monitoring. The position will be based in the Department of Engineering, King’s
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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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. These studies will include detailed characterisation of molecular weight distributions, degree of crosslinking, thermal-mechanical modelling and microstructural features that influence electrical performance
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study team to help curate high-quality data. The postholders will help support data analysis tasks and work on computational algorithms to help streamline data annotation. Image computing activities
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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Learning and Data Science; Distributed Databases. Interviews week commencing 8th September 2025 You will possess excellent communication and presentation skills, being capable of teaching both undergraduate
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-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research