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Assistant will be responsible for participant recruitment, running the studies, processing and statistical analyses of the data (behavioural and EEG) and assisting with the write-up of the methods and results
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methods and data analysis relevant for the research programme, including multicolour flow cytometry and imaging technologies. You will have good organisational and communication skills, collaborating both
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to enable you to participate in any element of the recruitment process you can contact Lauren Hartley at dph-section-operations@sheffield.ac.uk . Our vision and strategic plan We are the University
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. Validate the modified OED grading system and test its predictive ability by evaluating retrospectively transformed and non-transformed OED cases. Methods: Whole slide scans of histopathological samples from
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degree in Sociology, History, Anthropology, Political Science, Public Health, or a related field. Experience in oral history interviews and archival research. Knowledge of qualitative research methods
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are released in small doses over large areas of natural wetlands and thawing permafrost. Current methane mitigation methods rely on high temperature processes, and this is not feasible and not efficient
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methods, including documentary analysis. Fluency in English (spoken and written). An incipient or growing track record of academic writing, such as MSc theses, reports, working papers, or early publications
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software and hardware elements. You will also have: A degree in a relevant subject, e.g., Computer Science, Engineering, Physics etc. Experience of analysing physiological signals Experience working with
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non-parametric approaches Good understanding of how quantitative social science research methods are used to explore social equality issues and an awareness of recent published work in this area Strong
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(DMU) is a key UK university partner that is working with academic and community partners in Malawi, Tanzania, Vietnam and Uganda on this multi-stage, multi-method and co-created project. We aim