32 optimization-nonlinear-functions Fellowship positions at University of London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking a Research Fellow to work on an MRC funded
-
to join the Environment & Health Modelling (EHM) Lab (https://www.lshtm.ac.uk/ehm-lab ) led by Prof Antonio Gasparrini. The successful candidate will work on the project CONNECT – Cohort and environmental
-
reweighting strategies in data-scarce settings. The Research Fellow will work closely with a multidisciplinary team to inform global vaccine policy, contributing to peer-reviewed publications, public-facing
-
research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are seeking to recruit a Research Fellow to work on an
-
Environmental Health Group as a member of a multidisciplinary project team researching environmental exposure to enteric pathogens in study sites in Brazil and Mozambique. The post-holder will work closely with
-
surveys, overseeing their implementation, training researchers, analysing data and playing a lead role in producing peer-reviewed papers (key author positions). This will involve analysing and publishing
-
. Applicants must have the right to work in the UK and be eligible for home fees. Applicants should maintain their clinical skills, if applicable. Applicants must have an interest in global health research and
-
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