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. Project Title: Applying machine learning algorithms to datasets to predict outcome for paediatric solid organ transplant recipients. Review of the Key Literature: Predicting outcomes after paediatric solid
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and collaboration. Duties and responsibilities This is an exciting opportunity to conduct ambitious research at the interface of information theory, statistical machine learning and robotics
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classes and project supervision work within the Department of Mathematics. In particular, you will supervise research projects relating to scientific computing and/or machine learning within our Scientific
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Location: South Kensington Campus, London, UK Job Summary Applications are invited for a Research Associate position in the intersection of machine learning and communications. The successful
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for research posts at the Research Associate level, one in Generative AI for small molecules and materials, and one in multi-fidelity machine learning for Chemistry. Candidates are welcome to state
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materials classes, and for the development of new multi-fidelity machine learning approaches for active learning, Bayesian optimisation, and design of experiments to uncover reaction mechanisms. This is an
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; Disease modelling and novel therapeutics; and Applied machine learning. The post will be supported by a 3-year PhD studentship. Key attributes of the successful applicant include: BSc and PhD in
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Job description The Department of Informatics is looking to appoint a Research Associate in Trustworthy Machine Learning for Malware Detection, to work on the EPSRC project XAdv: Robust Explanations
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Iknaia Ltd. The task is to design, develop and evaluate AI driven construction safety systems, that use knowledge graphs in connection with machine learning models applied to camera and sensor data
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communication skills and preferably experience of using Python and machine learning in an applied context, preferably in a healthcare environment. This role is a part time (7.3 hours per week) fixed term