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for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
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information processing into an established consortium of experimental physicists and cancer biologists. The project establishes a close collaboration between IEMN and PhLAM, with the support of CANTHER
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within the project and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lithosphere-scale processes control
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demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining photonics
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: Understanding of the principles of atmospheric modeling, particularly using WRF-Chem. Knowledge of the physical and chemical processes simulated in the model, including cloud microphysics and interactions with
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approach. The project's overall framework encompasses the key facets of biodiversity (levels of biodiversity, biological groups and variability), the forces and processes that shape them, their spatio
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member of the French metrology network FIRST-TF, and a member of the REFIMEVE+ project, which physically links our institute to the LTE laboratory in Paris. This thesis will allow the candidate to acquire
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the Amazon could trigger a self-sustaining dieback process of the rainforest, whose extent and biodiversity depend on precipitation. Climate models project a decrease in Amazonian precipitation by the end