Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
proficiency in common statistical tools (qualitative and/ or quantitative) is essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term
-
at Research Fellow level. The post-holders will have a track record showing capacity to learn new methodologies, develop statistical models and analyse complex data sets. They will be self-motivated
-
, designing research instruments, supporting data collection and undertaking statistical analyses of prospective cohort data and routine programmatic data. The post-holder will need to have a postgraduate
-
the collection, management and analysis of quantitative data and prior research experience in water, sanitation, and hygiene (WASH) and experience or training with Stata or R statistical packages, should
-
drawn from the national Hospital Episode Statistics (HES) database. The successful candidate would primarily be assisting with the qualitative process evaluation component of the study, with the option
-
Project Coordinator to work in the Department of Infectious Disease Epidemiology, within the MRC International Statistics & Epidemiology Group. The group comprises 35 statisticians and epidemiologists based
-
extent a pastoral role, it is not a counselling position. The Student Support Officer will work in a team alongside an academic writing tutor and a maths and statistics tutor and will signpost students
-
packages. Skills that will be very useful for the project include GIS, statistical analysis, experience in atmospheric modelling techniques (such as Gaussian or Lagrangian plume modelling) and coding
-
team to deliver our Research Methods and Statistics courses under the direction of our lecturing staff, as well as assessing students’ submitted work. Other activities could include delivering seminars
-
of outputs for journal submission. The successful candidate will possess as many as possible of the following: PhD in relevant subject area: economics, computer science, mathematics / statistics, psychology