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: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification
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proficiency in distributed and high-performance machine learning algorithms, methods for exploiting modern system architectures for high-performance AI, and quantum distributed computing. A proven track record
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of organising, scheduling, travel planning and documenting of activities. You will be comfortable working quickly and adapting to changing needs, interacting with many people particularly by email or online calls
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within agreed work schedules. Additional information Informal enquiries are welcome and should be made to Professor John Schwabe on js336@leicester.ac.uk As part of the University’s ongoing commitment