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on fieldwork, remote sensing, GIS and targeted excavation at major cult landscapes. To assist in developing archaeological datasets for Cult Landscapes in first-millennium AD Ireland, and for comparable sites
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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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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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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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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
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statistical analysis of rip current incidents and met-ocean forcing data. You will also develop innovative methods to identify rip hazard hot spots through remote sensing and machine learning, and you will
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applications from engineers - scientists with expertise in computer engineering and/or programming and/or algorithm deployment within the aviation sector covering intelligent sensing and acquisition and
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applications in autonomous vehicles, remote sensing and intelligent robotics. The successful candidate(s) will manage their own academic research in the outlined area. They will be involved in several projects
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The Gambia who will work remotely with Prof Kat Holt’s team (see holtlab.net) to investigate transmission of Klebsiella pneumoniae in neonatal units in Africa using genomic epidemiology. The successful