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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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to integrate both the function of emitting radiation with a controlled multimodal profile, and that of analyzing the emitted wavefront. It's a thinned multi-strand component with a novel structure resembling a
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Description of the offer : CIC nanoGUNE is currently looking for a Pre-doctoral Researcher for a fully funded 4-year Ph.D. student project to work on magneto-optical characterization and control
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
institutes, with the student spending substantial time at each site to leverage their complementary experimental platforms and expertise. The PhD candidate will focus on developing novel control and modeling
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-doc funding from NIH training grants PhD and/or MD or equivalent by start of training. Application deadline: October 30, 2026 Submit PREMIER Application at https://go.uic.edu/T32_PREMIER Please visit
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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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underground hydrogen storage. We are seeking a highly motivated PhD candidate in Applied Geophysics to contribute to this exciting project which offers a unique opportunity to work with leading researchers and
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join our accomplished team! Your working area: The research group Statistical Analysis and Inference (STAIN) (https://stain.univie.ac.at/ ) at the Department of Statistics and Operations Research (https
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production.The PhD position in The SySi Team will focus on the integrated steam system design and control in a multi-energy vector context, using physics-based non-linear Model Predictive Control (MPC