17 parallel-computing-numerical-methods Fellowship positions at University of London in United Kingdom
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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electronic health records, preferably in the context of infectious diseases and knowledge of statistical methods including regression methods, multi-level models and preferably, Bayesian data analysis is also
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research to understand health services and systems, alongside applied research to support clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative
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data, like electronic health record data, is advantageous. Knowledge of missing data methods is desirable. Further particulars are included in the job description. The post is full-time, 35 hours per
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NIHR co-funded project to determine appropriate methods of analysis for cluster randomised trials with rare outcomes. The project is motivated by a large cluster randomised trial conducted in Niger
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are part of a programme of work in the newly established Queen Mary and Barts Health Tuberculosis Centre, led by an internationally respected group of clinicians and researchers. About You We are recruiting
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computational research projects and data infrastructure carried out in the research group. The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational
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imaging platforms and computer programming. The successful applicant will have an MSc or postgraduate degree in a relevant topic, relevant experience in AI-based imaging platforms and computer programming
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excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking to appoint a Research Fellow to join an exciting research programme exploring