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The Development and Plasticity of the Root System team is seeking a highly motivated postdoctoral researcher to work on an exciting project focusing on root development and phenotyping. This position provides
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11 Mar 2025 Job Information Organisation/Company CNRS Department Conditions Extrêmes et Matériaux : Haute température et Irradiation Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 31 Mar 2025 - 23:59 (UTC) Type of...
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Neutrino Group at LPNHE invites applications for a postdoctoral research position
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postdoctoral position on the study of microbial community structure and functions to work on a field experiment established on techno-soil in the Paris region. The employment is full-time for two years
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Description The postdoctoral researcher will join an ERC-funded project, led by Jean-Nicolas Dumez, on flow NMR for reaction monitoring. The project aims at developing and applying methods for fast diffusion
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particular mastery of the main principles controlling the sedimentary and structural architecture of a sedimentary basin - Mastery of the physical processes controlling fluid migration in the deep subsurface
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funding, the CNRS is launching a call for applications for a postdoctoral position on the theme of "environmental geography and law / spatial modeling." Within the activities of the Armorique Workshop Zone
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particular interest in digital humanities methods. The postdoctoral researcher will work in close collaboration with the team's permanent staff and PhD students, as well as with the permanent and contractual
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experiments. Travels to these locations are planned during this postdoctoral experience. The position will take place at the CBMN Laboratory (UMR5248) in the team of Y. Fichou (www.fichou-lab.cnrs.fr ), located
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for quantifying theoretical uncertainties and their impact on the confidence intervals of astronomical observables. This postdoctoral project aims to generate quantitative predictions for the key parameters