71 structures-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Hereon" PhD positions at CNRS in France
Sort by
Refine Your Search
-
) and the resulting THz performance. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-KONPAP-003/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
-
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
-
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
-
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
-
to access novel structures and reactivities. Targeted applications include "green" catalysis, the design of smart materials (magnetic, optoelectronic ), and surface functionalization. An innovative aspect
-
material for an intended structural application. To conduct this study, a nickel-based superalloy (Inconel 718) will be used as a model material because of its broad industrial applicability and its
-
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
-
The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
-
) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
-
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