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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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decision-relevant outputs such as restoration and implementation scenarios. The postdoc will collaborate closely with experts in remote sensing, ecology, environmental science, and engineering while
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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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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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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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
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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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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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, materials and energy. We translate knowledge within biotechnology, food technology, environmental technology, chemical engineering, industrial biotechnology, medical biotechnology and electrochemical