78 structures "https:" "https:" "https:" "University of Bordeaux France" PhD positions at CNRS
Sort by
Refine Your Search
-
for administrative registration. See: https://www.ehess.fr/fr/doctorat-anthropologie-sociale-et-ethnologie • Applications must include the following documents: - a CV - a cover letter + 2 letters of
-
earthquake in 2023, Ml > 5). These events, often associated with the reactivation of inherited faults, leave traces in geological and archaeological structures that are sometimes difficult to identify and date
-
filled. Shortlisted candidates will be invited to a remote interview in May 2026. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc
-
of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
-
aerosol layer, for example by injecting gaseous SO2 into the stratosphere, which then transforms into sulphate aerosols. Variations in this aerosol layer can alter the stratospheric thermal structure and
-
necessary to robustly extract the various constituent elements of the comic book (detection of panels and speech bubbles, text recognition, segmentation, and character identification), and then to structure
-
RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
). The Laboratory of Economics and Sociology of Work (LEST, http://www.lest.cnrs.fr ) is a joint unit of the CNRS and Aix-Marseille University, specialising in the analysis of work and its various spheres as a
-
PRIME (Projet de recherche inter-instituts multi-équipes) interdisciplinary CNRS programme (http://www.cnrs.fr/mi ). The PhD candidate will be co-supervised by Florence Niedergang (Team « Biology of
-
to access novel structures and reactivities. Targeted applications include "green" catalysis, the design of smart materials (magnetic, optoelectronic ), and surface functionalization. An innovative aspect
-
Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning