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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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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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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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Applications are invited for a postdoctoral researcher to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture group under
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We wish to appoint a physicist or data scientist with relevant experience and skills in MRI and/or machine learning to work with the Department of Radiology. The department has access to state
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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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studying studying protein substrate specificity. Our lab integrates machine learning and high-throughput biochemistry to study how proteins selectively recognise their substrates, how this process is
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studying studying protein substrate specificity. Our lab integrates machine learning and high-throughput biochemistry to study how proteins selectively recognise their substrates, how this process is