42 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Glasgow
Sort by
Refine Your Search
-
and teaching that transforms the practice of Statistics, Data Analytics and Data Science. With regular seminars and events, we have a lively and mutually supportive research environment, which has led
-
inequalities and linked data analysis Natural experiments from observational data Peer and social networks Intimate and sexual relationships Various settings, including, educational, professional sports club
-
in the first nine months will provide you with a valuable introduction to academic topics and research methods, whilst providing key training in the critical evaluation of research data. Upon
-
ligands may be useful in both health and disease. Techniques: Modern molecular pharmacology and signal transduction analysis Molecular dynamics simulations, informatic searching of large sequence data-sets
-
theory as well as engaging with pressing real-world problems that affect cities. You will have the opportunity to be supervised by internationally acclaimed scholars. Our strengths include: Big data, GIS
-
training opportunities in Glasgow in Research Design, Qualitative Methods, Quantitative Data Analysis, Introduction to Social Theory for Researchers, Applied Qualitative Methods, and Generalised Linear
-
Overview Our staff are experts in quantitative social science. They have a focus on embedding data fluency and analysis skills using quantitative methods, in the social sciences. Study options Study options
-
living in the UK. Sanctuary Scholarship full details Search our database for all scholarships BBSRC Doctoral Training Partnerships External funding information Support Support The College of Medical
-
Academic Technology Approval Scheme (ATAS) More information Research groups
-
Quantitative Data Analysis Introduction to Social Theory for Researchers Applied Qualitative Methods Generalised Linear Models Study options Study options PhD: 3 years full-time; 5 years part-time. Final