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10 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
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for the project, Jennifer Green (Textiles) is at NSCAD University. The project valorizes flax fibre as a product and byproduct feedstock for textiles, construction, and agriculture that is local, sustainable, and
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expertise in civil and structural engineering. The research subject Structural Engineering is now seeking a highly motivated postdoctoral researcher contributing towards science and technology in condition
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environment and provide superior client service to our community including faculty, students, staff, neighbors and visitors. Job Summary Reporting to the Director of Construction Management, Director of Design
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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Start Date: 01/10/2026 Application deadline: 26/03/2026 Applications are invited for a fully-funded Ph.D. studentship in the Department of Aeronautics in structural power composites. This PhD is
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 8 days ago
la structure du réseau polymérique et les mécanismes de vieillissement. Pour cela, des huiles seront préparées suivant des recettes anciennes par chauffage en présence de litharge/ verdegris puis
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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions
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the direction of the Supervisor, Maintenance and Construction, performs a variety of maintenance, repairs, and installation/replacement of machinery, mechanical equipment, and systems, and when assigned to shifts
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees