57 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in France
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- European Synchrotron Radiation Facility
- Université de Pau et des Pays de l'Adour
- Ecole Centrale de Lyon
- Aix-Marseille Université
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Nantes Université
- CY Cergy Paris University
- Centrale Lille Institut
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Centre National de la Recherche Scientifique (CNRS)
- Centre de Mise en Forme des Matériaux (CEMEF)
- Ecole Centrale de Nantes
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- Institute of Materials Science of Mulhouse, IS2M
- LSPM , CNRS 3407
- ONERA
- University of Bordeaux - France
- Université Gustave Eiffel
- Université côte d'azur
- Université de Limoges
- 14 more »
- « less
-
Field
-
PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
include oxides of chromium, iron, tungsten and the strongly correlated electron systems in SrFeO3−𝛿, LaNiO3 and SrRuO3. In situ neutron diffraction will allow to extract structural details including oxygen
-
the developed analysis tools. You will join the Large Scale Structures (LSS) group at the ILL, Grenoble, France and work mainly with the two NR machines D17 and FIGARO for the implementation of the ML
-
, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
-
/ Partnerships Partners of the PEPR DIADEM – CINEMA project funding this PhD: IRCER, Institut P’, ILM https://www.pepr-diadem.fr/projet/cinema-2/ Scientific Field and Context The optimization of growth–property
-
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
-
electronic structure methods for the above-described properties. In more details, this will require the development of an automated approach that allows identifying the excited-states across several levels
-
; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
-
. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
-
scattering (SANS) team. Two out of the four SANS instruments will be mainly used. D11 is designed for the study of large scale structures in soft matter systems, chemistry, biology, solid state physics and
-
to the determination of crystal and magnetic structures in condensed matter systems. You will be enrolled at the Technical University of Denmark, where you will spend 6 months. The current slowdown in transistor density