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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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robust causal inference methods. Based in London at LSHTM, the post-holder will be embedded within the Electronic Health Records Research Group and will work closely with external collaborators. The post
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, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory
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Head of Digital Learning. The RVC has an outstanding track record being No.1 in the world QS world veterinary rankings. Ensuring the institution’s digital infrastructure for teaching, learning and the
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-term success. The successful candidate will possess an outstanding track record of leadership in organisations of comparable scale and complexity. They will have first-rate advisory and influencing
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degree, ideally a doctoral degree, in a relevant topic. Relevant experience in relevant field(s) such as public health along with a strong track record in producing rigorous evidence syntheses. Experience
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for a new teammate with a proven track record of reducing an organisation’s environmental footprint. You should be used to supporting and influencing a wide range of internal and external stakeholders, be
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) or a related discipline. They will have a proven track record of high-quality research in immunology, including publications in renowned journals clear and ambitious plans for future research. Experience
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, including establishing and maintaining clear data ownership, role-based access controls, accountability structures, and comprehensive documentation. Strong track record of ensuring data quality, including
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-depth knowledge and practical experience in iTrent, including troubleshooting, configuration, and enhancements across all modules. Experience with applicant tracking software (e.g., Tribepad, Teamtailor