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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to
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3 Mar 2026 Job Information Organisation/Company Fondation nationale des Sciences Politiques Department Centre for research on social inequalities Research Field Other Researcher Profile Recognised
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researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
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and the Environment) or the INFLANET European Training Network. We strive to create an environment where all individuals are valued, respected, and supported. For more info: https://lphi.umontpellier.fr
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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, experimental facilities, and scientific network of the laboratory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8213-ZHUCHE-001/Candidater.aspx Requirements Research FieldEngineeringEducation
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collaborative environment. We offer a two-year contract funded by the ATIP-Avenir program, starting in February 2026 (flexible). Salary and social benefits follow the official INSERM scales. The position provides
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candidate will conduct gene knockout studies in a species of lepidopteran in order to study detoxification functions. The net monthly salary is between €2,200 and €2,380 The contract duration is 14 months
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Network spanning 33 institutes worldwide. Host laboratory: The Mass Spectrometry for Biology Lab https://research.pasteur.fr/en/team/mass-spectrometry-for-biology/ )led by Julia Chamot-Rooke, is a dynamic