Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop numerical models capable of reproducing laboratory experiments
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
-
compositions (carbon, metal alloys, oxides, clays, polymers). The laboratory develops and characterizes these materials, seeking to understand and control their architecture (structure, organization
-
to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7327-MARROU0-077/Default.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent Research FieldAstronomyEducation LevelPhD
-
postdoctoral students. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-FABOEH-006/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research
-
), Eq3 (3D liver models), and Eq4 (Germany, redox chemistry, and proteomics). The objectives are to: - Develop a plasma jet to treat pathological liver tissue in situ, and analyze the physicochemical
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop numerical procedures in
-
authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by
-
will involve measurements at synchrotron radiation facilities and visits to collaborating research groups. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7265-JULORD-012/Default.aspx
-
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