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Offer Description REMOD-HEALING is a Doctoral Network funded by the Horizon Europe Programme of the European Union. The REMOD-HEALING Consortium has funding for 12 full-time (100%) doctoral scholarships
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person will be in charge of developing aspects of the Malinca project and its applications to the study of reasoning in mathematical texts. The activity will follow a unique research project to be defined
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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and at the clearance level - To define sizing criteria - To optimize the piston ring geometry (axial/radial dimensions; sealing clearance, surface finish, materials, etc.) for different application
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral
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Bordeaux. Cell membranes serve as dynamic interfaces between compartments, where intricate signaling networks converge, giving rise to emergent behaviors such as signal amplification, specificity, and
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global anthropogenic CO2 emissions. Decarbonizing the cement industry to achieve net-zero is particularly challenging because a significant fraction of CO2 emissions stems from the intrinsic chemical
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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levels, offering strong networking opportunities to the student. Over the past decade, the field of attoscience has revolutionized our ability to observe the fundamental building blocks of matter, such as