31 assistant-professor-computer-science-data-"St"-"St" Fellowship positions at University of London
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to work in Professor Polly Roy’s dynamic and productive research laboratory at LSHTM. The post is funded by Wellcome Trust and is focused on double-stranded RNA virus replication. Applicants should be
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-led nutrition interventions during the war in Sudan. Responsibilities include developing surveys to assess reliance on community kitchens, analysing pre- and post-war data on food, disease, and coping
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empirical research. They will oversee specific research tasks, develop new techniques, and generate original contributions to the programme while fostering a collaborative team environment. Key
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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(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
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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
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Science and Services. You will be expected to enhance the department’s reputation through scholarship in clinical activities and teaching. You will achieve this by delivering professional services within
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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
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relevant to your proposed project is desirable. Please note applications without this will not be considered. Please quote reference EPH-DPH-2025-07 or for more information contact Professor Rosie Green