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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
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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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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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-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), the Internet of Things (IoT
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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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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. 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