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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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activities by conducting statistical analysis of existing datasets and advising on prospective studies. In particular the applicant will contribute statistical expertise to the NIH-funded project “Human
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Department of Medical Statistics (MSD), which includes
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designing study protocols and submitting ethics applications; qualitative research using NVivo or similar analysis software; mixed-methods research; statistical analysis; training and supervising teams
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller for the D-MOSS project
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models. The successful applicant must hold a postgraduate qualification, ideally a doctoral degree, in a relevant field, have a strong quantitative (mathematical/statistical) academic background, and