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Project: Application of new biorefinery lignin-based adhesives in the wood panel industry The project envisages a mobility of professor Stergios Adamopoulos (20 % work time) from Linnaeus University…
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Project: Hörmander-Weyl calculus in the framework of ultra distributions This project concerns developing a calculus of Weyl operators, also feasible for objects which are more hard treated than…
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Project: Efficient and reliable computations of scattering resonances Scattering resonance computations in nano-optics are important in the development of photothermal cancer therapy, optical…
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Doctoral project: Visual learning analytics to support teachers’ pedagogical work This doctoral project features a collaboration with a number of EdTech companies that develop digital learning…
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Project: Enriched Reality for Education and Digital Well-Being (EREDWeB) This project explores the potential of state-of-the-art virtual reality technology for teaching, aiming at digital well-being.…
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Project: Predicting the water vapor sorption of wood with machine learning methods The water vapor sorption behavior of wood is a fundamental property that affects nearly all of its properties such as…
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Project: Formaldehyde emissions from wood composites bonded with bio-based adhesives Formaldehyde based adhesives dominate the market and are used almost exclusively for wood panel production. The use…
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Project: Improving the competitive advantage of CLT-based building systems through engineering design and reduced carbon footprint The objective of this project is to increase the competitiveness of…
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Project: Renewable hydrophobing agents for fibreboards based on tall oil The project aims at preparing and testing 100 % renewable formulations that are based on tall oil for effective…
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Seed project: ODXVR x NTS The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to submit an external funding application.…
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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…
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Seed project: Detecting ’signs of learning’ in six-year-olds’ meaning making about science through digital tools The main objective for this seed project within the Knowledge environment Digital…
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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: A platform to collect and analyze canoe/kayak training data The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA)…
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Seed project: An Exploration of the Challenges and Possibilities of Multidimensional Visualization in the Context of Visual Learning Analytics The main objective for this seed project within Linnaeus…
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Seed project: Digitized ancient remains detection The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to explore if…
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Seed project: Interactive video training tool and training scenario development for Emergency Medical Services The main objective for this seed project within Linnaeus Knowledge Environment Digital…
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Seed project: The strategic competence management process, AI based solutions and the entrepreneurial mindset The main objective for this seed project within Linnaeus Knowledge Environment Digital…