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of Technology is a modern field that employs analytical, experimental, and numerical methods. Our research spans fundamental to applied studies and includes collaborations with both national and international
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using contactless techniques for damage and crack detection Experience in integrating structural modeling, computational methods, and experimental results into a unified framework for condition assessment
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and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Subject description Machine learning focuses on computational methods by which computer
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description Applied Geochemistry comprises studies into the occurrence and mobility of the chemical elements in the environment, with a particular focus on methods to prevent or reduce the environmental impact
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significantly poorer quality than the original products. The main goal of this project is to identify and develop methods to avoid downcycling and minimize the reliance on primary iron. Steel scrap is not a
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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criteria. Other assessment criteria (not ranked): Expertise in industriell AI, eMaintenance och Digital Twin Expertise in spatial and point cloud computing Documented experience of designing research
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tomography (APT), and advanced diffraction methods. Specifically, the research covers how unusually high silicon contents in steels affects the distribution of carbon between the formed ferrite phase and the
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science, Electrical and Space