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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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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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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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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
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a
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Machine Learning Digital Twins of Spintronic Neuromorphic Devices Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Matthew Ellis Application Deadline