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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
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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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courses and educational programs in forestry and wood technology at both undergraduate and advanced levels. Subject area for the position: Postdoc fellowship in forest products Location until further notice
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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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competences, ranging from biogeochemistry and microbiology to movement-, evolutionary-, and community ecology. The postdoc that we are looking for shall collaborate with group members and contribute