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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
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analysis of the project's qualitative and quantitative data. The role will involve contribution to the development of mixed-methods analytical strategies, syntesize findings based on data collected in
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integration approaches Additional Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis
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October 2026 or as soon as possible thereafter. The pathways and aims of this research are to build historical and analytical perspectives on welfare in relation to shifts in democracy and statecraft
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; *Science, *2025). The project involves a combination of optical imaging, nanofabrication, data analysis
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qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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develop, establish, and pursue appropriate analytical protocols and techniques to support research, including standardized protocols for patient sample flows. You will also develop research questions within
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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omics data, and access, curate and data mine publicly available repositories such as PRIDE. The role will involve close collaboration with research team members to interpret findings, refine analytical
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. About You You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have