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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
comprehensive quantitative evidence and understanding of their capacity and cost-effectiveness for carbon sequestration under varying conditions. You will be part of a large international research project focused
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cross-institutional collaboration and knowledge exchange. This project offers a unique opportunity to work at the intersection of academia, start-ups, and large-scale industry partners. Our focus is on
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large research consortium led from University of Copenhagen with partner universities in Norway, Austria, Czechia, Slovenia and the UK. The post.doc will work closely together with the Work Package on
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comprehensive quantitative evidence and understanding of their capacity and cost-effectiveness for carbon sequestration under varying conditions. You will be part of a large international research project focused
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. The department has a scientific staff of about 210 persons, 140 PhD Students, and a technical/administrative support staff of about 100 persons of which a large majority contributes to our research
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top priority and paramount for green and sustainable growth. In a large research project funded by Carlsberg Foundation’s Semper Ardens Advance grant, we will investigate if we can realize a new heavy
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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. Rapeseed is a protein-rich crop used for industrial oil production. It is cultivated on a large scale in Europe and may be utilized in new food types locally across the globe. In SEEDFOOD we will create
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of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale wind farm clusters may impact atmospheric and
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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples