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candidate will contribute a broad, multi-proxy palaeoecological skillset to the project. They will carry out field sampling and laboratory analysis of peat and soil sequences from case-study landscapes across
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and analysis. The analysis involves mathematical proofs and empirical evaluations (require writing codes) on the proposed algorithms and existing benchmarks. • Prepare slides and present scientific
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. Requirements PhD in Education, Psychology, Child Development, Statistics, or a related field. Strong experience in quantitative data analysis, preferably in secondary data analysis of large-scale datasets and
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the integration, analysis, and interpretation of datasets. This role is part of a broader vision to spearhead data integration and analysis of a growing multi-‘omic dataset designed to study healthy aging
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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, from literature review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a
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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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, Computer Engineering, or a related field. Strong background in smart contract security, blockchain systems, or software security. Experience in program analysis, formal methods, or vulnerability detection
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established