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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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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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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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remote sensing and machine learning, and you will gather in-situ field data to verify the forecast. For ARISE and MS4S you will develop hydro- and morpho-dynamic models to predict coastal sediment