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be carried out in collaboration with Jérôme Chanut, the lead developer of the NEMO model's numerical core at Mercator Ocean International. The NEMO Research & Development team at LOCEAN investigates
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of emerging quantum networks. In the last few years, color centers in the 2D material hexagonal boron nitride (hBN) have established them-selves as excellent quantum emitters, bringing new perspectives
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-turbine capable of converting their energy into electricity. Ultimately, this strategy could significantly reduce the net energy consumption of the process and contribute to the development of low-carbon
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collaborations provide access to cutting-edge experimental infrastructure, complementary expertise, and an international scientific network, fostering exchanges, research trips, and participation in international
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cross-border network — the Upper Rhine Biodiversity Cluster — to share knowledge. This work will lead to analytical tools, action plans, training for professionals, and exhibitions for the general public
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with the project partners…). - Team work - Rigor, organization and autonomy - Master the numerical tools and image processing softwares. Please provide a CV, motivations, available marks obtained in
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bioinformatics/data analysis. The candidate should be able to work within a Unix environment, with the R-software (CRAN/Bioconductor) and ideally be familiar with another scripting language like Bash or Python. A
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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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). The work plan includes: . A detailed literature review on boiling flow regimes and their modeling. . The enhancement of the ConBo experimental setup with the integration of a Wire Mesh Sensor (W) to measure
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of integrating spatial, iconographic, and material constraints derived from standard heritage ontologies and 3D data. 3. Defining an evaluation and uncertainty quantification protocol in order to produce