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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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detailed review of the literature to build hypotheses and to define research questions and corresponding objectives. This time should also be used for feasibility testing through data collection at UCL and
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. LCCOS holds the UK Customer Service Excellence (CSE) Award, The National Archives (TNA) Archives Service Accreditation, and Arts Council England Museum Accreditation. The combined staff in UCL LCCOS
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consultancy in the areas of: Media and Cultural Studies, Art, Design and Museology; Academic writing; English education: Applied Linguistics; Music Education; Multimodality studies; Learning with Digital
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, research and consultancy in the areas of: Media and Cultural Studies, Art, Design and Museology; Academic writing; English education: Applied Linguistics; Music Education; Multimodality studies; Learning
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setting Prior experience with psychophysics and associated analysis methods Prior knowledge of confidentiality, data protection, and GDPR Basic knowledge of relevant scientific literature on the cognitive
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, applying and evaluating robust, state-of-the-art methods and tools, which fuse optimised inputs from people, processes and enabling technologies, to support efficient (including continual) evidence
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, and has one of the largest Biomedical Faculties in Europe. It is closely aligned to University College London Hospitals (UCLH) which has state-of-the-art facilities in central London (http
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such as the history of race as a concept and its imbrication/implication in social institutions and processes, law, education, psychic life, culture and the arts, language, employment, social policy and/or