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Project: Adaptation to changes: emerging forest ecosystems in a changing climate We aim to compile information about oak forest distributions and associated biodiversity, identifying threats and…
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
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Seed project: Machine learning for predicting the mechanical properties of high performance oxynitride glasses This project aims to develop a machine learning (ML) model to predict the mechanical…
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Project: SciChallenge Using digital technologies and social media, the SciChallenge project will create a competition to engage more young people in Europe in the areas of natural science, technology…
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Project: Mapping of the conditions for efficient remanufacturing of furniture used in public environments We want to increase the knowledge about circular economy and remanufacturing of furniture…
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Project: Climate-smart agriculture Within this project, we are developing a pilot plant for energy-efficient agriculture.
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Project: Decision support for individual-tree-selection - aiming at profitability and biodiversity (DITS) The project aims to develop decision support to determine the optimal harvesting time for…