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PROJET-PEPR : MOF composites for the overall CO₂ reduction through panchromatic photocatalysis (M/F)
NMR, X-ray diffraction, EDX analysis, nitrogen adsorption isotherms, and ICP analyses available in the laboratory. Photocatalytic experiments under heterogeneous conditions will then be carried out in
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particular the influence of synthesis processes on electrical and thermal transport properties. This thesis topic therefore combines the work of a solid-state chemist (synthesis and structural analysis) with
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on advancing simulation-based Inference (SBI) frameworks for modern data analysis in cosmology and astroparticle physics. These positions focus on the development and application of SBI methods in two contexts
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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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experimental techniques and/or data analysis Qualifications: • Ph.D. in Molecular Biology or Parasitology • Strong background in cell cycle biology and/or parasitology • Excellent problem-solving skills and
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physics, engineering or related fields. Solid background in aerodynamics, vortex dynamics and possibly two-phase flows. Experience in theoretical stability analysis and use of asymptotic methods. Knowledge
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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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• Evaluation of catalytic performance and mechanistic studies • Analysis, processing, and interpretation of experimental data • Scientific dissemination of results: reports, publications, and presentations