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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by
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11 Dec 2025 Job Information Organisation/Company CNRS Department Centre d'études spatiales de la biosphère Research Field Environmental science Biological sciences Geosciences Researcher Profile
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11 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Etudes en Géophysique et Océanographie Spatiales Research Field Environmental science Environmental science » Earth
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ExperienceNone Additional Information Eligibility criteria The candidate must hold a thesis in ecology, with if possible a specialization in movement ecology. A good command of geographical information, spatial
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expertise in biostatistics and spatial data analysis. - Expertise in machine learning. - Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic). - Experience writing scientific
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perforation, and the partial encapsulation or/and amorphisation of the 2D materials. The originality of our project is to design the spatial organisation and density distribution of phonon scattering centers