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Eligibility criteria Competencies: - PhD in theoretical computer science or a related field - Ability to conduct independent research - Writing scientific papers and presenting work in seminars - Organizational
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. Proficiency in HPLC required. Knowledge of cell biology and cytoskeleton. Drafting and executing experimental protocols. Organization and traceability. Ability to work independently. English level B1. Website
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molecular mechanisms. Excellent oral and written communication skills in English are required, as well as the ability to work both independently and collaboratively within a team. Knowledge or experience in
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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of biodiversity - Knowledge of polar environments - Mastery of data acquisition and management tools in ecology or anthropology - Ability to work in a team Website for additional job details https://emploi.cnrs.fr
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, FEM, RCWA, or similar) • Experience in nanofabrication and/or optical characterization is an asset • Strong motivation, autonomy, and ability to work in a collaborative research environment Website
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the interface of theory and experiment -Very good communication skills, ability to take initiative Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5821-CHRVEL-207/Default.aspx
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samples (cell culture) and/or nanomaterials is an asset -experience in scientific programming and data analysis using Python and/or MATLAB -ability to work in an interdisciplinary environment and to
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characterization of catalytic nanomaterials, as well as in heterogeneous catalysis. The candidate is expected to demonstrate initiative, ability to work collaboratively within a team, and strong skills in presenting
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written communication in scientific English Personal skills: availability, openness, ability to listen Managerial skills: participation in meetings and activities of the ANR CALL project funding