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of thermal degradation. This research has enabled the development of effective kinetic models, based on parallel or sequential reactions. However, the actual operating conditions of pellet stoves
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or roving (parallelization, regularity), (ii) development of optimized wrapped yarns and study of the influence of wrapping parameters, (iii) yarn impregnation and composite manufacturing using various
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of a demonstrator will enable the consolidation and validation of the obtained results. This work will contribute to the development of innovative solutions for machine learning systems driven by network
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
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of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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media requires the development of approaches targeting intermediate scales of matter, between the nanometer and the micrometer, using both experimental tools for synthesis and characterization, often in
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most extreme conditions achievable in the laboratory. As a Beamline Scientist, you will play a central role in the operation, scientific exploitation, and future development of the High-Pressure beamline