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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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tied to a part-time Research Assistant position and linked to the EF Research Lab for Applied Language Learning https://ef-lab.mmll.cam.ac.uk . The lab focuses on connecting basic research in second
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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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aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
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, machine learning & high-performance computing is desirable but not essential. Research centres: Université catholique de Louvain, Belgium Technische Universiteit Delft, The Netherlands Université du
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the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of AI and science, providing training
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, with a focus on Kenya, Tanzania and Nepal. In addition, it will involve working with PAL network researchers on mutually agreed analysis drawing on their comparative learning data across countries