29 computer-science-image-processing Fellowship positions at University of London in United Kingdom
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-13. The supporting
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health, environmental health, environmental science or engineering, epidemiology, microbiology, or similar). The applicant should have a track record of working with enteric pathogens and some experience
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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
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. Candidates should have post-graduate degree, ideally a doctoral degree, in a relevant topic, with a background in epidemiology, public health, health economics or similar, and have knowledge of public health
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About the Role The post is based in the Centre for Trauma Sciences within the Centre for Neuroscience, Surgery and Trauma at the Blizard Institute. The Trauma Sciences research team
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-11. The supporting statement section should set out how your qualifications, experience
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by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2025-11. The supporting
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until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference ITD-DIB-2025-09. The supporting statement section should set
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-PHES-2025-10. The supporting statement section should set out how your qualifications, experience
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable