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the construction logistics unit at the division of Communication and Transport Systems (KTS). The postdoc will focus on projects related to circularity of construction materials (including both soil and rock
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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groundbreaking work on enzyme-triggered electrode fabrication in animal models (Strakosas et al., Science, 2023; https://doi.org/10.1126/science.adc9998 ), this project leverages enzymatic polymerization to create
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of the material and its properties. This research position focuses on computational approaches to assess the influence of the material microstructure on structural integrity, incorporated in technical models