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sequence data (e.g., 16S and 18S data), as well as knowledge in bioinformatics. In addition, the postdoc should have a high proficiency in written and spoken English, be able to solve problems, and the
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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
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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