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Field
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knowledge of these areas of research is essential, and a strong background in remote monitoring in epilepsy is expected. It is essential the role holder has completed training in neurology and is working
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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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, Assoc. Prof. Sonny Rosenthal, Asst. Prof. Yong Ming Lee, Prof. Ute Meta Bauer, and Assoc. Prof. Laura Miotto Cross Cutting Theme 2: Satellite remote sensing This theme will map and monitor the impact and
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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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engineering and/or programming and/or algorithm deployment within the aviation sector covering intelligent sensing and acquisition and knowledge of data communication and data management of aircraft systems
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the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility
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that are relevant to industry demands while working on research projects in SIT. The research staff conducts research in the areas of video analytics for remote pilotage, video compression, advanced sensing
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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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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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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