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Processes ( https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories
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Safety, Data Science (Information and Signal Processing), Speech, and Cognition. The unit conducts its research through 11 teams organized into 4 research departments: - Automation and System Safety
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. •Propose and design experiments; analyse and interpret the results obtained. •Ensure the traceability and reproducibility of experimental data and keep the laboratory logbook up to date. •Present and
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. Bailly-Grandvaux et al., Phil. Trans. R. Soc. A 2021]. The postdoctoral researcher will contribute to the design, execution, and data analysis of the next series of experiments: • At OMEGA and
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belief diffusion, scientific dissemination, and strict compliance with the legal framework governing digital data (GDPR). The objective is to identify the triggers of an infodemic: which discourses
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annotations from the different participating teams. The selected candidate will undertake the following tasks: - Data collection and curation - Benchmarking of different 3D structure prediction tools
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turbulent-flow data. - Define and carry out, in consultation with the project members, an original research programme aligned with the scientific objectives of TURBO. - Develop theoretical approaches to
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-procurement areas over time by comparing the results with archaeological, chronological and spatial data, including LiDAR-derived evidence. The PhD candidate will also contribute to the development of new
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supervisors will be organised, together with continuous sharing of experimental data and modelling results. The position is based in Strasbourg, a dynamic and international university city offering an
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the western-central Himalaya region since the 1960s using remote sensing observations, long-term in situ mass balance measurements, specific downscaling method of climate reanalysis data and global