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mining. Project description The knowledge of the mechanical behaviour of tailings is the background of all safety and risk analysis related to tailing dams independent of their construction methods. It is
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of on-site construction production processes, as well as sustainable development. You will also demonstrate independence, creativity, and strong collaboration and analytical skills. Research environment
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structured SPE data Develop ML models to predict key polymer properties relevant to battery performance Create generative models for the inverse design of novel SPE candidates within the targeted chemical
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We are looking for a highly motivated and skilled PhD student with expertise in computational hydrodynamics and structural analysis, and a genuine interest in conducting research on hydrofoil craft
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research in collaboration with stakeholders. The PhD project is part of two key initiatives: the Competitive Timber Structures research profile and the BioGlue Center: Competence Centre for Bio-based
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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construction. Information about the research environment The PhD student will join the research environment Architecture, Media, and Material Practice (AMMP) at the Department of Architecture and Civil
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structural engineering. The research subject of Structural Engineering is now seeking a motivated researcher who will contribute to the science and technology of structural condition assessment, structural
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advantageous. Good collaboration skills and a structured working approach are important for the role, and you should be independent with your own drive and interest in the research assignment. Great emphasis
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of Technology offers strong support through a qualified supervisory team and a structured doctoral education program leading to a PhD in Geotechnical Engineering. Active participation in the international