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Field
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will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project
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and/or experience in two or more of the following areas: o Automation and robotics o Electronics or PCB design, testing, or manufacturing processes o Programming/software development skills o
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structures. The PhD positions Experimental characterization and digital twin development A key challenge in developing a reliable digital twin is accurately characterizing the static and fatigue behaviour
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. The PhD will contribute directly to the development of technologies that may accelerate drug discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate
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discovery, personalized medicine, and the transition toward advanced animal-free testing methods. Your immediate leader will be the Head of Department. About the project The PhD position is funded through
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Vacancies PhD positions in Structural Health Monitoring of Welded Thermoplastic Composite Assemblies Key takeaways Thermoplastic composites are widely regarded as promising materials for the next
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Sylt Ost, Schleswig Holstein | Germany | 3 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time employment. Job
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone