52 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" "UCL" research jobs at University of London
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will work with our team to shape the research questions, develop recruitment strategies, conduct qualitative and quantitative research, generate data, analyse findings, and deliver public engagement
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, there is potential for involvement in data analysis leading to conference presentations and/or authorship in peer-reviewed journals. Education & Leadership: You will be encouraged to deliver formal
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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: generating evidence to support policy. It is a collaborative project led by QMUL and the Policy, Information and Communication Directorate at Cancer Research UK (CRUK). The work will focus on exploring
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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auditing, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text
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collaborators, you will conduct analyses of the Swiss HIV Cohort Study (SHCS) data to identify and characterise underserved populations who could benefit from PrEP. You will use intersectional approaches
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of implementation analysis). This will include reviewing data from a feasibility study, identifying supplementary data needs, and developing tools for costing in a full trial. The postholder will also contribute
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conducting long-term participant observation, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised