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symmetry and excitation processes on vibrational spectra, as well as participate in the development of methods integrating new laser technology. The candidate will work within the framework of the ANR
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will take advantage of a live-cell microscopy method
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validated by a high-level publication are eligible. • Technical skills: Proficiency in cellular imaging techniques, calcium signal recording methods, and exocytosis. A good knowledge of electrochemical data
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Bioinformatics expertise of Dr. Raimondi on the development of GI NN methods and their application to relevant biological problems with the expertise of Dr. Bry and Dr. Trottier on the statistical inference
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focused on the electrochemical and structural properties of hybrid soft-matter electrolytic systems. The candidate should be proficient in and apply a wide range of experimental and analytical methods. In
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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the analysis of data from the ESA Euclid mission—and 21-cm intensity mapping, especially from the SKA Observatory (SKAO). Our goal is to generalize existing analytic methods—particularly the Effective Field
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territories. The pedigrees reconstructed in each populations are sufficient to estimate some simple quantitative genetic parameters, but they are incomplete and contain errors, which greatly limits
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) using chemical and electrochemical methods - Optimise the structure and the chemical compoistion for the targeted application - Characterise the morphology, the strcture and the chemical stability
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of the fabricated fibers within optical networks. - Design of innovative hollow-core fiber structures using the finite element method. - Fabrication of specific optical fibers on a fiber drawing tower. - Linear