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, better urban planning and use of space, and more recently for contact tracing and social distancing purposes. Explainable AI (XAI) for geospatial data modelling Machine learning and artificial intelligence
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, Evidence and Policy research group at Newcastle University. The role will be based in the Civil and Geospatial Engineering Discipline in the School of Engineering. Civil and Geospatial Engineering covers
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will be part of the Modelling, Evidence and Policy research group at Newcastle University. The role will be based in the Civil and Geospatial Engineering Discipline in the School of Engineering. Civil
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courses: Spatio-Temporal Data Mining and Big Data Analytics, launched in 2014 and still growing and developing in reputation; and Geospatial Sciences (GIS & Computing, BIM, Hydrographic Surveying
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inference, geospatial analytics, and dynamical modelling — with a growing emphasis on adapting tools for new geographies and near-elimination contexts. It offers the opportunity to contribute to high-impact
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that are embedded into routine health systems and data dashboards used to guide policy decisions. This role sits at the intersection of generative machine learning, statistical inference, geospatial analytics, and
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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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microenvironment organisation 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
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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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learning development environments e.g., PyTorch, TensorFlow. · Knowledge of Geospatial applications of Machine Learning. · Familiarity with current software development best practices, e.g