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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks
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well as new minerals to build a detailed picture of the evolution of the Earth's atmosphere from Archean to present. The post-doctoral researcher will also have access to the noble gas analytical platform
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set by the CNRS scale and commensurate with experience. A PhD in cosmology, astrophysics, or theoretical physics is required by the start date. The start date is October 1st- 2026. Application Procedure
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the advanced imaging techniques available, including confocal microscopy for tracking fluorescent MPs and developmental analyses, as well as Scanning Electron Microscopy (SEM) available at the MNHN site. He/she
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entanglement. - Theoretical and Analytical Studies: Conduct theoretical and numerical analyses of superradiant molecular ensemble models, with thorough documentation of processes and results. - Simulation Code
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
processing and analysis of TEM images (segmentation, extraction of morphological parameters). Modeling of growth and phase transitions (nucleation kinetics, diffusion mechanisms, droplet stability). Optical
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rewriting, graphical languages, process calculi) • Quantum causal models • Type systems for quantum languages • Research within the Proofs & Programs team • Participation in seminars and team discussions
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for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
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conflictual processes, its social drivers, and its political expressions. In particular, it will focus on building a database of the most significant controversies related to the three issues identified, by
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challenges in coupled photo- and biocatalysis The transition toward sustainable chemical manufacturing requires innovative strategies to replace fossil-based processes with biomass-derived alternatives. Among