341 evolution "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" positions at CNRS
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
-
Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
management scenarios. Reference : Postic et al. 2025 GMD. https://gmd.copernicus.org/articles/18/7603/2025/ Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5175-XAVMOR-003/Default.aspx Requirements
-
to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
-
), the Grenoble National Polytechnic Institute (Grenoble-INP), the University Grenoble Alps (UGA) and the University of Savoie Mont-Blanc (USMB). LEPMI's main research activities focus on the development and multi
-
controlling NPC assembly and their involvement in cancer cell proliferation. - He/she will design, plan, and carry out experiments, analyze and interpret the data obtained, and contribute to the development
-
recreation, ticket sales, etc.) Health Insurance: Mandatory enrollment (unless exempt) in the MGEN plan, with 50% coverage Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8004-PAUBAR-010
-
and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
-
symplectic geometry: Baptiste Chantraine, Vincent Colin, Fabio Gironella, Stephane Guillermou, François Laudenbach, Rémi Leclercq. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6629-FABGIR
-
, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
-
of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under