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the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine
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analysis, machine learning, data pre-processing, fusion, etc.). This will require engagement with sector and subject matter specialists at all levels of employment to understand the current industry practice
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, machine learning, data pre-processing, fusion, etc.). This will require engagement with sector and subject matter specialists at all levels of employment to understand the current industry practice and
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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Practice Research Datalink. The post-holder must have a first degree in a field relevant to data science along with relevant experience in machine learning, particularly natural language processing methods
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics