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(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University
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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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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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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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of cardiovascular, endocrine and inflammation science. The fundamental mission of the FMD is to ensure that the best possible clinical service is underpinned by the very latest development in scientific and clinical
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analysis to join a dynamic team that has, for the past 8 years, developed an extensive body of research on corruption, governance and anti-corruption strategies. In the Accountability in Action project
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from the collaboration. The role will require experience in using statistical software e.g. R, Stata for epidemiological analyses and experience in the development of scientific communication materials
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to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working
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: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models