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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network
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. In parallel, the post-doctorant will be associated as co-local contact to studies of other quantum materials using his/her compensated-coil magnetization probe, in collaboration with LNCMI researchers
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collaborative project. Under the joint supervision of Dr Nikolski and Dr Engelhardt, the candidate will become an integral part of both teams. The PhD candidate will develop and apply AI/bioinformatics
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that remain valid despite uncertainties in the drone and camera models. Incorporate air traffic rules and safety requirements into the mathematical optimization framework. - Optimization and Learning: Optimize
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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dedicated computing resources (3D visualization workstations, GPU servers). The research will be conducted in close collaboration with Philippe Nghe's team (Laboratory of Structural Cell Biology at École
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), within the ATLAS group. The PhD student will join a large-scale international collaboration and participate in the activities of the ATLAS experiment at CERN. The work will focus on the analysis of data
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, combined with automated sampling and complementary physicochemical analyses. This collaboration will provide advanced training in the correlation between polymerisation, self-assembly mechanisms
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research axis, which centers on representations and symbolic behaviors in the Paleolithic. You will also collaborate closely with Patrick Tardivel, a mathematician at the Institut de Mathématiques de
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), within the ATLAS group, in close collaboration with the French-Japanese ILANCE laboratory and the University of Tokyo. The successful candidate will become part of a large international collaboration and