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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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-termWorking TypeHybridAvailable for SecondmentNoClosing Date14-Jun-2024 A four-year PhD Studentship in Pharmacometrics and Machine Learning funded by the UKRI EPSRC and GSK is available within the Institute
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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the use and booking of specialist facilities. Duties will include: Design, preparation and making using various 2D/3D design software, digital, fabrication equipment, CNC machines and related technologies
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quantitative methods, social network analysis, text analysis, Bayesian modelling, longitudinal analysis, causal inference, agent-based modelling, Machine Learning, or similar. Skills Essential: C1 Excellent
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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; and/or Multi ‘omics data integration and analysis: developing and applying cutting-edge informatics tools, such as machine learning and AI, to large-scale genomic/imaging/metagenomic/transcriptomic
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University Belfast is an excellent opportunity to gain practical experience and training. You will work alongside experienced colleagues, whilst learning on the job and appropriate objectives will be set
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Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives
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subject to performance. Closing Date: Monday 03 June 2024 Reference: ENG171124 Over £50 million has been invested in the Power Electronics and Machines Centre (PEMC) at the University of Nottingham