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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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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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Location: South Kensington Campus, London, UK Job Summary Applications are invited for a Research Associate position in the intersection of machine learning and communications. The successful
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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering
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, bioinformatics, computer vision and molecular cardiology to explore the mechanisms underlying heart function. The group uses machine learning to analyse cardiac motion for predicting patient outcomes, discovering
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is looking to recruit a highly skilled fashion technician specialising in Haute Couture and Ready to Wear sample machining to strengthen and complement the existing atelier team. The Candidate
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infrastructure to promote rich, systemic, automated data generation and curation. They will harness machine learning to drive unattended decisions (self-optimization and self-correction) and harness artificial
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to join our team. The ideal candidate will have a strong background in data science, machine learning, and healthcare, with a particular focus on leveraging AI techniques to optimize clinical trial