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telemetry equipment. They will be responsible for ensuring high quality twins, and will interact with the project team on the development of effective machine-learning models to be deployed within these twin
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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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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
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced
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addition to conducting research into DSP, the Research Assistant/Associate would explore the potential for machine learning (ML) in the optical access network. The focus of the research into ML for PON would be on reduced
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work on an exciting research project to enable you to learn, develop and grow professionally. About the School SCEBE have over 200 academics, and 3,100 campus-based students, and delivers programmes with
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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of techniques including building optical setups, controlling lab equipment remotely and coding machine learning. Knowledge of photonic networks. Knowledge of research methods and statistical procedures