-
for cardiovascular disease in this patient group using linked electronic health record data. The post offers an excellent opportunity to develop expertise in risk prediction methodology for electronic health records
-
diseases, immune-modifying treatments and dementia risk using linked electronic health records. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale health
-
position informally are encouraged to contact Prof. Daniel J Brockman +44 (0) 1707 666281 or email: dbrockman@rvc.ac.uk
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. An exciting opportunity has arisen in the LSHTM Electronic
-
have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
-
methods, relevant experience of handling administrative or routinely collected electronic health record data, for example Hospital Episode Statistics (HES), and of undertaking advanced quantitative analyses
-
contact Dr Robert Priest, Head of Department on robert.priest@rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please