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Field
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are rapidly evolving – ranging from remote sensing and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured
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: Biodiversity is a fundamental prerequisite for the ecological functioning, resilience, and long-term sustainability of forests. At the same time, new methods are rapidly evolving – ranging from remote sensing
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Master's degree in Earth Sciences, Geography, Physics, Environmental Sciences, Meteorology, or a related field. Passion for atmospheric remote sensing, chemical transport modelling, and data science. Solid
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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worldwide. Research methodology The researcher will combine existing landslide inventories with new remote sensing observations to build multi-year databases of landslide occurrences and control factors (i.e
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planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental
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role in shaping the research direction by selecting study regions, refining analytical approaches, and integrating methods across atmospheric science, remote sensing, and epidemiology
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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venues Prior experience with agricultural applications or remote sensing We Offer A fully funded PhD position for 3 years (TV-L E13) Opportunity to work on real-world agricultural challenges with
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and