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reconstruction, and eDNA metabarcoding. These data will be incorporated into modelling frameworks designed to develop innovative indicators for assessing the ecological status of marine ecosystems. If you are
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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supports excellence in multidisciplinary marine research, education, and policy development. THE DEPARTMENT The COS department is one of the four research departments of NIOZ. COS integrates state-of-the art
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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develop teaching skills and explore whether you see a future in academia. Where to apply Website https://www.academictransfer.com/en/jobs/357311/phd-position-in-probabilistic-a… Requirements Specific