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Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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generative AI and machine learning to detect code smells and security flaws. We are eager to move forward with the interview process for the Machine Learning position at Haultech Ltd. To better understand your
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of an Innovate UK project aiming to develop novel digital health intervention working with industry. This project focuses on the use of machine learning to develop individualised behaviour change interventions
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Applications are invited to a Postdoctoral Research position, working in the implementation of machine learning methods to better reduce spectroscopic data from JWST and Hubble with Dr Hannah
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Contract type: Open ended Work hours: 35.0 hours per week The role Applications are invited to a Postdoctoral Research position, working in the implementation of machine learning methods to better
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An exciting opportunity has arisen for an enthusiastic seismologist with expertise in machine-learning workflows for seismic data analysis to develop enhanced earthquake catalogues to support the latest
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Machine learning models for prognosis prediction in periodontal treatment School of Clinical Dentistry PhD Research Project Competition Funded UK Students Dr Vitor Neves, Prof Ali Khurram
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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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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