-
is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
-
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
-
is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
-
searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
-
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
-
learning, statistics/Bayesian probability is essential. You must be able to demonstrate the ability to mentor and supervise research students and assistants as well as the ability to work independently and
-
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
-
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
-
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