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Records, geospatial data) and ensuring data governance, compliance and disclosure control. The Data Manager will maintain metadata dictionaries, produce end-user documentation and collaborate with
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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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leverage your advanced skills in programming (Python, R), geospatial analytics, and large language models (LLMs) to develop, deploy, and maintain robust, data-driven applications and workflows. You will work
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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
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to predict prognosis and therapeutic response. J Pathol. 2023;260(5):578-591. doi:10.1002/path.6153 AbdulJabbar K, Raza SEA, Rosenthal R, et al. Geospatial immune variability illuminates differential evolution