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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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environmental concern. PFAS contamination in drinking water and in wastewater demands permanent solutions for removal and destruction. Current methods have various disadvantages, especially related
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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-level socioeconomic status, family-level SES and environmental factors such as green space in relation to development to obesity development and progression during childhood and through adolescence
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candidate who has A PhD in plant science, agroecology, microbiology, environmental sciences, molecular/chemical ecology, or similar Collaborative skills and ability to demonstrate commitment in teams
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candidate who has A PhD in microbial ecology, environmental microbiology or similar Research experience in molecular biology, metagenomics and biogeochemistry Collaborative skills and ability to demonstrate
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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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be contributing to specifically the area of phosphorus dynamics in agroecosystems, with an emphasis on the impacts of phosphorus management on crop performance and environmental losses. The main focus
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The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 3-year position as postdoc in atmospheric modelling to carry out research on large
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ranked as a top-100 university in the World, and it houses both an engineering and a medical school, as well as the traditional sciences, social sciences, environmental and agricultural sciences and arts