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Field
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nitrogen content in the final steel in a cost-effective manner. Some high-quality steels demand good formability and toughness, along with good surface quality, which necessitates controlling nitrogen
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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres
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) we investigate the chemistry and transport of trace substances in the troposphere. To this end, field and simulation chamber experiments as well as model simulations are conducted. Your Job The current
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gel-like structure called the third phase. Third phase formation is, however, a processing disaster and must at all costs be avoided. An ability to predict and control third-phase formation is essential
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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focused on how ice formation influences carbon cycling in cold environments. The project combines controlled freezing experiments, aqueous geochemistry, gas monitoring, and mineral characterization
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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controlled conditions. Your work will directly test model predictions and contribute to the realization of a sustainable battery prototype. Together, you will contribute to a tightly integrated modelling
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implemented in a real breeding context. Apply advanced genetic and bioinformatic tools to build a predictive model of how environmental conditions, in the context of climate change, affect yield and yield
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas