13 parallel-computing-numerical-methods Fellowship positions at University of London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
-
demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
-
to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
-
), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing
-
mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
-
clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
-
(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University
-
addressed to jobs@lshtm.ac.uk . A short (500 words) planetary health related research proposal including appropriate methods and outcomes and feasible in a 2-year timeline, are to be submitted alongside your
-
Health Records Research (EHR) Group for an experienced epidemiologist/statistician to join an NIHR-funded programme of research (The INTEGRATE programme) in collaboration with the National Institute
-
About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co