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research across Cambridge. Machine learning is increasingly at the heart of leveraging enormous and complex astronomical data sets to solve major scientific challenges in our understanding of the Universe
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on research in the fields of machine learning, hydrology, and water resources management at various
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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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the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a Research Assistant or Research Associate to work on efficient machine-learning
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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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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry
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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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platforms will be designed, capable of efficiently exploring complex mixed variable design spaces on the microlitre scale. Our multisite reactor network will be driven by next generation machine learning
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advice, guidance and support to current and prospective disabled and neurodiverse non-matriculated students (including students with Specific Learning Difficulties, ADHD and Autism Spectrum Conditions