37 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" research jobs at University of London
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an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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analysis of transcriptomic, spatial transcriptomic, genomic, and metabolomic data in cutting-edge projects exploring host–pathogen interactions. The successful candidate will join a new ERC-funded research
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. This role will involve liaising with partners, participation in consortium meetings, oversight of fieldwork, quantitative data preparation and analysis, writing for academic publication, and supporting
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for the supporting the conduct of clinical and parasitological studies in Burkina Faso, including the analysis of retrospective data. The successful applicant will have a postgraduate degree, ideally a doctoral degree
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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on national and sub-national survey data collected through a new Gates Foundation-funded initiative at the Vaccine Confidence Project, focused on the Immunisation Metrics and Monitoring Systems (IMMS
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explants; supporting laboratory management and organisation; training and assisting other researchers; and contributing to experimental design, protocol development, data collection and analysis, and the
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analysis of metagenomics data, and ideally experience with curation, validation, and submission of such data to public repositories. The postholder will be required to communicate orally and in written form
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classify social media data (video, audio, text), using high-performance computing environments to develop privacy-preserving analytical pipelines for social media data donation research. Working with Dr