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physics) - Experience in theoretical physics and topology - Excellent oral and written communication skills in English Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7644-OLEDMY-005
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. Communication of results The postdoctoral researcher will be supervised by Julie DIANI and Kostas DANAS, CNRS Research Directors at the LMS (Laboratoire de Mécanique des Solides), specialists in full-field
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and High-Performance Computing (HPC), a high level of communication skills, both oral and written (English required, French courses are provided to a successful candidate from abroad) to be able
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“language interactions in general practice and social inequalities in health”). - Participate in the scientific activities of the Gendhi project. Serve as a liaison between the ERC Gendhi, the host laboratory
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
JAVA. • Clear communication in English in both spoken and written form. • Good interpersonal skills needed for teamwork. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5175
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on the Exploration of Energy Resources and Geological Potential) of the PEPR “Subsurface, bien commun”, funded by the French National Research Agency (ANR). This project involves the CNRS, BRGM, IFP Energies nouvelles
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systems. NumPEx aims to support the Computational Scientific and Engineering (CSE) community in leveraging the capabilities and potential of these new architectures through expanded and reusable exascale
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collaborative and interdisciplinary environment. • Good scientific communication skills, both written and oral (English required). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023
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of surface chemistry and catalysis, DFT and ML. She/he must be familiar with VSAP software and Python. She/he must be rigorous, curious and able to communicate in English. She/he must be proactive in
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. • Strong expertise in the analysis of experimental space data and signal processing. Technical Skills • Proficiency in a scientific programming language (Python or equivalent). • Knowledge of in situ