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lignocellulosic biomass largely depend on the plant origin as well as the separation and extraction processes, which affect their durability and stability in the final products. Therefore, there is a great demand
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well as providing guidance to PhD and MSc students. Teaching and supervision amounting to a maximum of 20% of full-time may be included in the duties. Qualification requirements Qualified for the appointment is
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data integration, digitalisation, and sustainability aspects on material use. The position further requires demonstrated good ability to communicate orally and in writing in English. Assessment criteria
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of bioadhesives to better predict and optimise the production process and product properties, and thus ultimately expects to enhance the efficiency of the production process in different wood and fibre-based
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applied machine learning projects in, e.g., computer vision, in close collaboration with industry partners. The position is not connected to an existing project, so the postdoc fellow will either join an