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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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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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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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: 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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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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. 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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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral
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associated with a research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). It is a large European project with a consortium of 68 partners that aims at giving
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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