104 civil-engineering-soil-structure-interaction Postdoctoral research jobs in Sweden
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Subject description Soils are the base of our society and our food security, but they are one of the last domains of our modern life to be technologized. Soil microbes are essential as symbionts
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29 Aug 2025 Job Information Organisation/Company Luleå University of Technology Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Country Sweden
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the molecular mechanisms underlying genome-interacting processes using a highly multidisciplinary approach that combines advanced single-molecule fluorescence imaging with a range of biophysical, structural, and
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. Familiarity with software development workflows, tools, and practices (e.g., IDEs, CI/CD, testing, documentation). Experience in empirical software engineering, AI prototyping, or human-AI interaction studies
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations
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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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-future-green-electronics , https://c3nit.se/ Subject description The subject of this project is to develop novel ultra-wide bandgap semiconductor technology based on AlN and related alloys. This includes
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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. More information about the total announced post-doctoral positions within in
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description