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or equivalent, in Electrical Engineering, Physics or related fields. -Knowledge of programming in MATLAB, C/C++ or Python. -A foundation in electromagnetic theory and numerical methods that emphasizes your
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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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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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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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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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processing methods that handle large signal losses and are robust against space-based interference, developing network technology that integrates land and space systems, and developing new intelligent
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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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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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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 EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems