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independent researcher, including through grant writing, independent papers, consulting, trainings. The skills, qualifications and experience required to perform the role are: PhD in Machine Learning, Climate
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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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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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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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(UKHSA), and aims to investigate use of machine learning for prediction of infectious diseases outbreaks. Using data from routine surveillance of respiratory infections in the first instance, the
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be part of a small team, led by Dr Susanne Bornelöv, which studies gene regulation using various approaches including machine learning, evolutionary genomics, and sequencing bioinformatics. Our team is
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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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protein design and evolution, using molecular biology and biophysics along with the latest AI or machine learning tools. According to the development of the project there may be the chance to learn other
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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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grant funding remaining in place. Holding a PhD in Music or a related discipline and with a record of, or clear potential for, outstanding research, you will be a scholar whose research activities fall