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Field
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completion in face perception or related discipline Evidence of competency in data analysis of large datasets in R (R studio) Research & Skills Excellent knowledge of face perception literature including
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quantitative methods to analyse large-scale datasets and generate insights that influence policy globally. Key responsibilities include: Leading international research: Conducting high-quality studies with a
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analysis. Experience analysing large data sets is also essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term until 29 February
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that support our cutting-edge clinical trials, with a focus on 'omics data analysis. You will be responsible for providing bioinformatics support and expertise for clinical trials, including contributing
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analysts and provide strategic bioinformatics support across multidisciplinary projects. The role involves analysing clinical and genomic data from well-characterised epilepsy cohorts, with a focus on
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welcome Expressions of Interest in the following areas: School of Computing, Engineering & Digital Technologies Dynamics of human behaviours Cooperation in hybrid human-AI systems Large language models and
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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used for this project. This is a large unique dataset with approximately 200 sessions of data acquired. The candidate will be an integral part of a large and diverse team of researchers at the CHBH, and
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review, law and policy analysis, secondary data analysis, key informant interviews and participatory Photovoice and Q Study workshops. The role holder will work with the Project Lead, Dr Lauren Eglen, and
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17 Sep 2025 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established