252 evolution-"https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" research jobs at CNRS
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collaborate closely with experimental partners (ICCF, IJL, IC2MP, and Syensqo) to validate computational predictions, ensuring the development of catalysts that are both highly active and stable under harsh
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methods. - Strong knowledge of collaborative development tools and excellent programming skills. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8262-ELIBLA-002/Default.aspx Work
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belowground; - development of SDM modeling structures that best reflect plant use of multiple resources (e.g., interactive vs. substitutable resources); - testing the application of resource colimitation theory
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, Aix-Marseille Université). Applications must be submitted via the portal https://emploi.cnrs.fr/ , including: 1) A curriculum vitae; 2) A PDF document containing a cover letter, 1 or 2 letters
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joint research unit (UMR) that operates the CCU experimental platform. More informations about the CLLE Laboratory: http://clle.univ-tlse2.fr/ More informations on the project: https://anr.fr/Projet-ANR
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Transitions of Self-Organized Embryonic Systems Gastrulation is a crucial stage of embryonic development, during which an initially homogeneous tissue organizes into distinct cellular layers. Our team recently
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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been collected from children, parents, and grandparents. Research project on cross-linguistic pragmatics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8129-ROBCAS0-002/Default.aspx
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biology. This project builds on a key experimental barrier that we have overcome, enabling the rapid generation of high-impact structural data on bacterial secretion systems. Where to apply Website https