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About the role: We are seeking a highly motivated and skilled part time (0.2 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute
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. This will involve qualitative data analysis using NVIVO, data cleaning, statistical analysis, and the dissemination of findings through reports and presentations. Main duties: • Work closely with Dr
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About the role: We are seeking a highly motivated and skilled part time (0.2 fte) Research Assistant to join the Oxford School of Nursing and Midwifery. This is an exciting opportunity to contribute
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existing machine learning methods, as well as building robust, well-documented, and reproducible analytics pipelines for long-term use by the wider team. You will carry out data analysis and manage
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. This will involve qualitative data analysis using NVIVO, data cleaning, statistical analysis, and the dissemination of findings through reports and presentations. Main duties: Work closely with Dr Waite and
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expertise but could include undertaking qualitative or quantitative analysis of datasets on wearable camera use; analysing relevant law and policy applicable to wearable cameras and mobile AI; or developing
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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genomic data analysis. You will be able to demonstrate how to organise and prioritise work efficiently, work independently and deliver high quality novel research in relevant fields. It is desirable
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical