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schedule of questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing
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questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing to publication
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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Location: South Kensington, London About the role: The Department of Chemical Engineering is seeking a skilled and enthusiastic individual for a Research Assistant or Associate position within
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data, disambiguate historical agents, and contribute
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engage meaningfully with the radical moral disagreements and informational uncertainty characteristic of contemporary medical science, practice, and policy. Against a background of increasing polarisation
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reconciliation, enhancement, and integration of the MLGB dataset, working with legacy print, manuscript, and digital sources. You will apply and adapt digital methods (especially TEI XML), analyse provenance data
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Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes