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15th August 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in Computational Mechanics of Protective Structures under Blast and
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a research grant to support project costs. What you will gain A high-quality PhD project embedded in a wider programme with strong academic and industry engagement - projects and training are co
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
You must meet the requirements for admission to the faculty's Doctoral Programme , see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree instructural
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at the forefront of science. The PhD project benefits from ongoing collaborations with research institutes and academic hospitals. The research groups integrate laboratory-based and computational approaches
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4 Aug 2026 Job Information Organisation/Company Nicolaus Copernicus University Department Faculty of Physics, Astronomy and Informatics Research Field Physics Researcher Profile First Stage
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for the ‘Course Title’ using the programme code:8210F Select History in the ‘Research Area’ field Select ‘PhD School of History, Classic and Archaeology (full time) – History' as the programme of study You will
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 28 days ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10411 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be hosted by Inria
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Your position will be in the Toxicology division of the Institute for Risk Assessment Sciences (IRAS), where you will be working on your PhD research in a team of motivated scientists and fellow PhD
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2026 (or as agreed). Description of PhD Project The PhD student will be responsible for leading projects focused on the development of novel computational and AI tools to improve our understanding
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paradigms that support collaborative processes rather than isolated individual use. Combining perspectives from the learning sciences, Computer-Supported Collaborative Learning (CSCL), Computer-Supported