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research in collaboration with stakeholders. The PhD project is part of two key initiatives: the Competitive Timber Structures research profile and the BioGlue Center: Competence Centre for Bio-based
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to the development of ongoing research. This will include the integration, modelling, and advanced statistical analyses of large genetic, ecological, and environmental data sets. The successful candidate is also
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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on numerical modelling and experimental investigations and includes the practical implementation of results based on the needs of collaboration partners. The research environment aims for further collaborations
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(connected to e.g. geolocation, wood quality, BIM models, EPDs, moisture and weather exposure), identify needs and collect complementary data and investigate techniques for connecting and transferring data
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subareas such as Design of Wood-Based Building Systems (subarea 2) and Industrialised Production along the Value Chain (subarea 3). Among others, the research conducted by the appointee can encompass the
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and disruptive business models, informatics’ logic for systems- and business development, digital platforms and digital eco-systems, and digital sustainability. The duties also involve course
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of timber-based building systems, identifying sources for potential failure, and providing tools for assessment for the owner, the builder, and the structural designers. Using ongoing monitoring projects as
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various bio-based resources, a critical step in improving their stability for diverse applications. Therefore, besides the scientific tasks, the position also includes responsibility for research
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that are differentially expressed in genome-sequenced marine model bacteria and natural marine bacterial assemblages. Analyses will involve state-of-the-art techniques in microbial ecology and molecular biology (e.g. gene