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Context: Controlling heat and particle fluxes on tokamak walls is a critical challenge for future tokamaks. Achieving burning plasmas near ignition while ensuring sufficient power distribution on divertor
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methodological comparison between mechanistic vector control models and macroscopic SIR-type models calibrated on serological survey data. Currently, risk indicators (e.g., R₀ estimation) derived from mosquito
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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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between pollution control efficiency, electrochemical yield, and energy recovery potential; • Develop coupled electrochemical and hydrodynamic models to predict process behavior; • Participate in
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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 Lien du sujet avec Figure : https://groupes.renater.fr/sympa/attach/mecamat
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rearrangements. It will allow progress in the prediction and, eventually, mitigation of their detrimental effect in materials. In addition, it will provide a better understanding of the fundamentals of fast
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committed to areas relating to the health of vulnerable populations, the One Health and global health approach, and the development of diagnostics, prediction strategies and innovative therapies. As part of
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convection. Once the saturation point is reached, a boiling flow develops. Various flow regimes emerge depending on the control parameters. In Llo, the generated steam is used in a turbine to produce
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: https://www.list.lu/ How will you contribute? Do you have proven skills in data science, machine learning, as well as in optimisation? We are looking for a highly motivated and talented Engineer to join
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completion. This position offers a remarkable opportunity for personal and professional growth in a cutting-edge research environment. Strategy of the host laboratory: The teams of the INCIT unit U1302 (https