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) / InP contact layer (200 nm) / Si substrate The objective of the project is to develop a plasma etching process for this multilayer stack, enabling selective etch stopping on the InP contact layer, which
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in the framework of the BBEST PEPR. The project aims to valorise syngas derived from biomass via the OX-ZEO process. This relay catalytic process combines a hydrogenating metal oxide to produce
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mixtures, including information retrieval, random access, approximate search, querying and filtering, encryption, compression, and many other information-processing tasks. Our team is looking for a talented
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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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. In parallel, the post-doctorant will be associated as co-local contact to studies of other quantum materials using his/her compensated-coil magnetization probe, in collaboration with LNCMI researchers
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies
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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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. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
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Description The goal of this project is to explore the effects of mechanical forces on the cell nucleus during epithelial-mesenchymal transition (EMT), a critical cellular process that occurs in both
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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