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in the State. The position is covered by the Protocol on Job Structure. Responsibilities and tasks in the PhD programme Carry through an independent research project under supervision Complete PhD
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-on experience in rheometry or other dynamic mechanical experimental techniques relevant for gels and biological tissues. In-depth understanding of relationships between structure and measured properties and an
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PhD. Substantial recent relevant research experience to include: research into approaches and practical implementation of embedded sensors for performing structural monitoring ideally, but in some
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, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance their operational reliability. The PhD student will combine mathematical
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(loss of integrity in near surface agents), and crack initiation (discontinuity between agents), with peri-dynamic inspired interagent bonds defining the structural integrity of the material. In current
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in Mechanical Engineering and strong
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, manufacturing process dynamics, and uncertainty quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD
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position within a Research Infrastructure? No Offer Description 15 funded PhD positions in Computional Neuroscience IndiBrain (Characterizing Individual Differences in Brain Plasticity and Dynamics to help
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular