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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
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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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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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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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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