Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
-
provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a researcher with skills in quantitative data
-
data integration for epidemiological innovation, funded by the Wellcome Trust. The CONNECT project offers the opportunity to work with the largest population-based UK cohorts, such as UK Biobank, CPRD
-
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
-
into working of HPB MDT. The candidate will conduct audit and research into functioning of HPB MDT to improve data collection and audit for all HPB cancers, separate cancer work from non-cancer work, Research
-
data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
-
Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and
-
for this and other related grants held by the group, including coordinating meetings with coinvestigators and stakeholders, contributing to writing of publications and contributing to quantitative data analysis
-
for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and