Sort by
Refine Your Search
-
Applications are invited for a Quantitative Research Assistant to work within the Medical Statistics team under Rafael Perera and Patrick Fahr on a climate change and health research programme. The
-
the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing
-
imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
-
’ Programme. The post will suit an ambitious researcher, who is interested in applying their skills in machine learning, high-dimensional statistics, and multi-omics and data integration. The primary role
-
methodologies and contribute ideas for new research projects. To be considered, you must hold a higher degree (e.g. MSc/PhD) in epidemiology, statistics or a related subject, have significant relevant experience
-
project that will enhance Population Health research in Oxford. Applicants should have an MSc in a subject relevant to Population Health (e.g. medical statistics, epidemiology, health economics, sociology
-
adiposity, physical activity and cardiometabolic disease, who is interested in applying their skills in developing resources, data integration and statistics to advance understanding of environmental, social
-
Hollingsworth’s group is a world leader in the development of statistical, mathematical, and computational models that inform disease dynamics and the translation of outputs to national and global health policy
-
Applications are invited for a Senior Statistician to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will conduct research
-
of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis