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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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” funded by Independent Research Fund Denmark and led by Associate Professor Christoffer Basse Eriksen. The project aims to carry out the first large-scale study of the making of the Flora Danica (1761–1883
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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research group "AI and big data in Radiation Oncology" (read more about the group here: https://www.en.auh.dk/departments/the-danish-centre-for-particle-therapy/research/research-groups/artificial
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characterized by more favorable citizen attitudes. The project develops new theoretical concepts and empirical measures, using a novel sequential research design that integrates observational data, large-scale
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media data using platform APIs and/or web scraping analyse large-scale data using appropriate digital methods (flexible, but please specify) present research at national and/or international events lead
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and applying genetic and genomic approaches to biodiversity research. This includes integrating environmental DNA (eDNA) and molecular tools with ecological data to enhance our ability to assess
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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electrical and computer engineering for real-world, large-scale applications. The NAN group has strong expertise in wireless networks, routing, network security, data analytics, and cooperative multi-agent