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Wood Building Technology The main direction of our research environment is wood building technology and applied mechanics. The research is to a large extent applied and is practised in close…
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Welding Mechanics Laboratory (WML) The Welding Mechanics Laboratory research group takes an interest in weld joint related phenomena during a welded structure's entire life time cycle – manufacturing,…
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The Bridge A unique partnership between Södra, IKEA, and Linnaeus University that unites academia and industry for innovation and sustainability, focusing on forestry and wood.
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Sustainable Built Environment Research Within sustainable built environment, we conduct cutting-edge research linked to sustainable development, especially system analysis studies of bioenergy,…
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Structural Health Monitoring Within the area of structural health monitoring (SHM), data is collected from buildings and structures and automatically analyzed. The results are used to detect…
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Strength Grading of Timber Timber exhibits large variations in mechanical properties, which makes grading of timber into appropriate strength classes important for the competitiveness towards other…
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Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…
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Small-scale Forestry The Small-scale forestry research group develops educational concepts and conducts research projects related to small-scale forestry and forest ownership. The Department of…
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Seed projekt: How will the acorns of the future be affected by rising carbon dioxide levels? Acorns play a vital role in ecosystems – both as the next generation of oak trees and as a food source for…
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Seed project: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
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Seed project: Tree species in the secret forest Creation of a path for demonstrating habitat types and tree species succession in southern Swedish forests.
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Seed project: The green transformation of the Swedish pulp and paper industry This project investigates the green transformation of the Swedish pulp and paper industry in response to stricter…
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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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Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
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Seed project: Human and technology in collaboration – weather stations strengthening local forest fire preparedness The project aims to strengthen local community preparedness for forest fires by…
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Seed project: Exploring data and establishing routines for collaboration on energy experiments The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences…
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Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…