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of Earth and Environmental Sciences announces a postdoctoral position within a project that addresses this gap. The project aims to develop an operational, web-based service that uses Landsat and Sentinel
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spatial data science perspectives will be used to organise and interpret the evidence, identify geographical and methodological gaps in existing research, and develop a coherent knowledge base to support
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by