17 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Lulea University of Technology in Sweden
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, develops, validates, and demonstrates a vehicle-based monitoring system for continuous condition assessment of bridges, where vibration data are collected using trains, buses, and municipal service vehicles
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public authorities. The work is closely linked to research in bridge monitoring, condition assessment, and data-driven infrastructure management. Data from case studies (inspections, monitoring, and
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of experimental data. You will work in the field of process metallurgy, with activities linked to an international research and development project carried out in close collaboration with industrial partners
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research partners. You are also required to take your own initiative and to be able to work independently. Information The employment as amanuensis covers up to 50% of a full-time employment per month, for
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experience and competence, are judged to have the ability needed to complete the doctoral program. For further information about a specific subject see General syllabus for the Board of the faculty of science
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pose environmental risks in Sweden, inspired by the assessment model developed by the USGS. - Integrate multiple lines of evidence, including data on the occurrence of CRMs, associated problematic
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pure theory and experimental verifications. You will need to represent the group in different contexts, both in Sweden and abroad and hence have excellent skills in English. Further information
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must also independently, to a considerable extent and with high quality, contribute to the university's research and demonstrate good pedagogical skills. Information Salary according to local guidelines
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are considered as a strong plus. You will represent the group in different occasions, both in Sweden and world-wide, hence very good knowledge in English is a must. For further information about a specific subject
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. Subject description Computer Science includes research on algorithms, data structures, computing models and software engineering for the development of resource-efficient, distributed and intelligent system