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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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traits, Kidney function, metabolic syndrome and other Non-Communicable diseases, fine-mapping, machine learning, genetic risk score analysis and Mendelian Randomisation studies. The candidate must hold a
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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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. Making recommendations on hardware purchases and contributing to tender proposals You will also line management of a junior team member experience. Additional skills will be learned on the job, with a lot
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The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many
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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
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a UK Valid driving licence, applicants should have a good command of the English language both written and verbal, candidates must be computer literate. You will be required to be able to carry out