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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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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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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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(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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Algo Trading, Bitcoin, AI and Machine Learning to offer relevant teaching for skills in those emerging areas. The class size is now more than double its original size, with 90+ students made up of a wide
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holiday Free meals on shift Employer contributory pension scheme Free car parking (if available) Life assurance A health cash back scheme Cycle to work scheme Wellbeing programme including free yoga
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is important that you are someone who understands and applies problem solving skills and is keen to learn and apply the practices and procedures for planning to maintain systems and equipment. The role
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SoR's. Offer technical support to Customer Contact Centre to ensure that works are value for money. Promptly instruct contractor and confirm agreed timescale. Liaise with housing mangers as necessary
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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