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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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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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to meet deadlines Knowledge of current animal health welfare and topical veterinary issues Qualifications: A degree in veterinary medicine or in a relevant scientific life science discipline that is
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, environmental data science, or a closely related STEM discipline Demonstrated expertise in urban spatial data analytics, with proficiency in GIS software (e.g. QGIS, ArcGIS) and geospatial methods Experience in
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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