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in the School of Civil and Environmental Engineering (CEE) and conduct research on digital manufacturing strategies for construction, with a particular focus on 3D concrete printing and architected
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at the Department of Structural Engineering and Building Materials of Ghent University is the largest Belgian research center in the field of concrete technology and concrete structures and has a vast and widely
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spanning centuries, contribute to Belgium's nuclear safety strategy and future energy infrastructure, and collaborate with leading experts in concrete materials science, structural engineering, and nuclear
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Engineering » Computer engineering Engineering » Civil engineering Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 31 Mar 2026 - 12:00
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, physics, materials science, or Civil Engineering. For PhD 1, strong skills in numerical modeling (DEM, Python/C++) and an interest in computational mechanics are expected. For PhD 2, experience in
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, physics, materials science, or Civil Engineering. For PhD 1, strong skills in numerical modeling (DEM, Python/C++) and an interest in computational mechanics are expected. For PhD 2, experience in
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postdoctoral research position focused on experimental investigation of concrete materials. This position offers an exciting opportunity to conduct cutting-edge research in concrete technology and contribute
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Researcher in Structural Analysis for 3D Concrete Printing to join our R&D and Engineering team in Barcelona (Spain). The researcher will play a key role in the design, modelling, and structural validation
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the MSc CREATE programme and the BSc in Civil and Architectural Engineering, as well as participation in service and institutional activities. The position may support preparation for a future PhD
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 4 hours ago
interdisciplinary research environment at the interface of computational mechanics, mechanical/civil engineering, and scientific machine learning. The PhD candidate will also have opportunities to present their work