20 structures "https:" "https:" "https:" "https:" "https:" "https:" "Birmingham Newman University" Fellowship positions at University of Stavanger in Norway
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9th April 2026 Languages English Norsk Bokmål English English PhD Fellowship in Structural Engineering: Integrity of Steel Structures Apply for this job See advertisement Job description The
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10 Mar 2026 Job Information Organisation/Company University of Stavanger Department Department of Mechanical and Structural Engineering and Materials Science Research Field Engineering » Systems
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framework for understanding how imaginaries, structures, and agency co-evolve across space and time, contributing to uneven geographies of future-making. The qualifying project will be carried out
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a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English Requirements for competence in English A good
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skills for completing the doctoral degree within the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good
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professional and personal skills for completing the doctoral degree within the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy
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to work in a structured way and has a high work capacity. strong oral and written skills in Norwegian (or another Scandinavian language) at a minimum B2 level, and strong proficiency in English
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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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invites applicants for a PhD Fellowship in Resilient Bridge Infrastructures at the Faculty of Science and Technology, Department of Mechanical and Structural Engineering and Materials Science. The position
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University of Stavanger invites applicants for a PhD Fellowship in Surrogate Modelling of Fluid Flows using Deep Learning at the Faculty of Science and Technology, Department of Mechanical and Structural