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, through digital technologies. Working as part of a team, this post will investigate the development of digital innovation and data fusion approaches to combine in situ measurement with remotely sensed data
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station (HAP). Innovative radio sensing platforms for remote sensing. Radar based target classification for smart mobility and smart agriculture. Electronic defence in emerging telecommunication standards
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connected studies into structural damage assessment. This role will: work with damage data observed and collected from the 2020 Beirut explosion (damage assessment database, specific studies and remote
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. The project will allow other tech companies to link their systems up, such as disease prediction models, remote crop health monitoring and methane monitoring to start to bring real productivity gains to UK
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flood inundation down the river network. The successful applicant will be expected to quantify sediment flux to rivers from both shallow and deep landslides using remote sensing imagery, automated
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comprehensive understanding of aerosol-cloud-interactions. This will be achieved by using a state-of-the-art modelling framework with extensive, systematic, and simultaneous in situ and remote sensing airborne
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processing of free satellite imagery. You will have a strong quantitative grounding, including a track record of working with remote sensing imagery obtained from aerial and/or satellite platforms. You will be
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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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remote sensing, unmanned aerial vehicle (UAV) survey, ground truth fieldwork, the application of geographical information systems (GIS), and the deployment of in-situ technologies, including various types
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well as coordinating and managing field data collection, supervision of laboratory teams, data management and analysis, and publication of scientific articles. The post will involve remote supervision of laboratory