Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- European Synchrotron Radiation Facility
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Institut Pasteur
- Aix-Marseille 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)
- ENVT INRAE
- Ecole Centrale de Nantes
- Fondation nationale des Sciences Politiques
- IFP Energies nouvelles (IFPEN)
- INERIS
- INSERM 1116
- Institute of Materials Science of Mulhouse, IS2M
- LEM3
- LSPM , CNRS 3407
- ONERA
- Sorbonne Université, CNRS, Inserm
- University of Réunion
- Université Claude Bernard Lyon 1
- Université Gustave Eiffel
- Université Paris 1 Panthéon Sorbonne
- Université Toulouse Capitole
- Université de Poitiers
- 20 more »
- « less
-
Field
-
the absorption of light by matter is a major challenge for the scientific community. In this context, the development of stimulus-responsive molecular switches able to act as fluorescent probes or photosensitizers
-
Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
-
'Catalysis for Energy Transition' (CATREN) and is led by Dorothée Laurenti and Laurent Piccolo. This thesis project focuses on the development of catalysts for the hydrogenation of CO/CO₂ into methanol, and
-
due to their high persistence. Understanding the temporal evolution of PFAS concentrations and characteristics in ambient air is therefore essential to support the development of appropriate regulatory
-
responsible for the evolution of this network, one needs to take into account other parameters related to the nodes: pages can for example be characterized by their size, quality & popularity; contributors by
-
. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo
-
“Sustainable farming” funded by AGRALIFE (https://www.inrae.fr/Agralife ) and the project “Associations between human interventions (including those impacting wildlife) and animal disease spread and means
-
simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
-
characterization techniques. The second phase will be dedicated to the development of a Multiphysics numerical model, validated and informed by experimental data, to simulate the WAAM process. Strong
-
]. This application is particularly suitable for the development of new hybrid weather forecasting solutions for two main reasons: (1) although complex, the dynamics of atmospheric phenomena can generally be modeled by