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environmental urban research. Experience in image analysis and natural language processing and in the use of geospatial software packages would be beneficial. The post provides an outstanding opportunity
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post is fully funded for 3 years and provides an opportunity to obtain a PhD. The project will enable the candidate to develop unique skills in complex linked data handling, geospatial analysis and
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officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance
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alongside New Zealand’s comprehensive landslide inventories to create innovative models of landslide behaviour. The research will combine field work, empirical modelling, and geospatial analysis, ultimately
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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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glacial processes, and coupled hydrological processes or earth system modelling of terrestrial carbon cycle processes. As well as experience of large dataset collation and analysis, including geospatial
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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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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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learning development environments e.g., PyTorch, TensorFlow. · Knowledge of Geospatial applications of Machine Learning. · Familiarity with current software development best practices, e.g
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urban environments and an international airport. Objectives The specific objectives of the project will be to: Characterise and quantify the geospatial variability of pollutants within surface sediments