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research across Cambridge. Machine learning is increasingly at the heart of leveraging enormous and complex astronomical data sets to solve major scientific challenges in our understanding of the Universe
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/6GIC), is looking to recruit a Research Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving
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machine learning to unlock hidden patterns and drive impactful business decisions. The candidate will also assist the Avenue 9 team in the sales process and help support clients as necessary. We're excited
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There is an amazing opportunity to join the Smith School of Enterprise and the Environment (SSEE). We are seeking a Research Associate in AI/Machine Learning with expertise in large language models
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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a
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There is an amazing opportunity to join the Smith School of Enterprise and the Environment (SSEE). We are seeking a Research Associate in AI/Machine Learning with expertise in large language models
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Iknaia Ltd. The task is to design, develop and evaluate AI driven construction safety systems, that use knowledge graphs in connection with machine learning models applied to camera and sensor data
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and Networks research group at Loughborough University. The focus will be on the development of machine learning methods and signal processing algorithms to enable optimised network slicing in 6G
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related to staff position within a Research Infrastructure? No Offer Description Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing
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Project title: A machine learning enhanced digital twin toward sustainable pharmaceutical tablet manufacturing Supervisory Team: Dr Xi Yu, Dr Mohamed Hassan-Sayed, Floria Bouchier, Dr Gavin Reynolds