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About the Role We are seeking an enthusiastic and experienced (Senior) Clinical Trials Database Developer to join our team of data management and IT staff supporting a growing portfolio of clinical
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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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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
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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro
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the successful candidate for this position. Therefore, the appointable candidate will need to be eligible to work in the UK or have leave to remain in the UK and associated right to work for the duration
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taught postgraduate students and 180 PhD students on the London campus. These are supported by an administrative and technical staff of circa 45. The staff and student body are international in make-up
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the successful candidate for this position. Therefore, the appointable candidate will need to be eligible to work in the UK or have leave to remain in the UK and associated right to work for the duration
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Salvador, Brazil. The post-holder will also contribute to the laboratory analysis, data cleaning and management, and data analysis and write-up a study to assess environmental exposures to enteric pathogen
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Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and
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team player, with excellent organisational and administrative abilities. You will be a positive role model with outstanding communication skills. We offer a generous reward package and benefits including