-
degree, ideally a doctoral degree in mathematical modelling, statistics, epidemiology or another relevant discipline with a strong quantitative component. Candidates should also demonstrate experience in
-
teaching and supervising graduate students, as well as the ability and flexibility to teach across a range of topics in probability theory and its applications and mathematics and statistics in general at
-
partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a statistical modeller with an interest in climate
-
to apply to and register on the Global Health research degree to take up the studentship. University College London and GSK are passionate about recruiting the best talent regardless of their background. All
-
. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
-
diet, and individual health and lifestyle. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history
-
be able to work and thrive in a multidisciplinary team where they will share and integrate their expertise with that of others. About Queen Mary At Queen Mary University of London, we believe that a
-
diet, and individual health and lifestyle. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history
-
Mathematics and Statistics including modules in Data Science, Statistics or Programming. Additionally, the candidate will lead on the supervision of several Masters dissertations in these areas. About You The
-
postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research