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to drive the research, support AFI and manage the programme, is to examine existing and develop future data management / governance approaches. Aim is to optimize the shared service model enabled by improved
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to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation
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/ governance approaches. Aim is to optimize the shared service model enabled by improved data sharing, deployment of digital technologies and redesigned workflows. With this project we aim to design, research
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. The successful candidate will work on JWST observations of the supernova SN 1987A, with a particular focus on dust modelling. The group actively collaborates with researchers in Europe and the United States and
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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, sustainable medium for molecular computation and data storage. The successful candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and
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Department: Computer Science Vacancy ID: 036943 Closing Date: 31-Aug-2025 We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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Emergency Coordinators, Incident Commanders, Responders and Observers in a timely fashion. Geo-AI can be classified as an emerging field which attempts to capture, process and model real-world environments