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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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Programme for Scientific Discovery (https://acceleratescience.github.io/index.html ) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges
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analytical skills and substantial experience in machine learning at scale are required. Detailed information on the requirements for the role can be found in the further particulars. The position is for 1 year
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About us The Centre for Machine Vision (CMV) is seeking to appoint a Research Associate to focus on applications of computer vision and machine learning. This is a full time, fixed term post for
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Overview Qualification type: PhD Subject area: Control and Machine Learning Location/Campus: College Lane, Hatfield Closing application date: 10 June 2024 Start date: July 2024 or as soon as
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Applications are invited for a Research Assistant or Research Associate to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture