Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Université de Limoges
- Institut Pasteur
- Université de Caen Normandie
- Aix-Marseille Université
- LISA UMR7583
- Nantes Université
- Observatoire de la Côte d'Azur
- Télécom Paris
- University of Lille
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- 3 more »
- « less
-
Field
-
of aerosol and soil particles based on simulation chamber experiments and soil spectral and directional reflectance measurements. This is a prerequisite for improving the representation of the mineral dust
-
the laboratory. Extensive characterization will be performed, with structural, microscopic and chemical analysis, to explain the evolution of properties in order to better predict them, propose in-situ estimation
-
to housing and autonomy (i.e., FOCUS). A survey (i.e., OFFRE) will be also conducted in order to explore the main characteristics and offers of the intermediate housing structures in France of the main
-
the context of new environmental challenges and the digital transformation of society. The post-doc's mission will be to continue and initiate work on the challenges of sustainable logistics for the Limousin
-
be leveraged to train AI-based tools in order to enhance resolution of low-field NMR spectra for these isotopes. Diagnosing metabolic disorders in the human brain by the development of new pulse
-
-society relations in a context of global and climate change. The research topics, which are carried out with various institutes (INEE, InSHS, INSERM, INSU, etc.), concern : - the current dynamics
-
Inria, the French national research institute for the digital sciences | France | about 2 months ago
/ year) and flexible organization of working hours Social, cultural and sports events and activities Access to vocational training Social security coverage under conditions 2788 € gross salary / month
-
CEA, which aims to anticipate, prevent and remedy as far as possible the failures of complex multi-scale systems hosting multi-physical phenomena, in order to increase their safety under operational
-
be the continuation of previous work, would use machine learning on a simulated data base to define the tool, followed by an application to real data from GRAVITY/VLTI (K band), MATISSE/VLTI (L, M, N
-
for analyzing whole genome and brain imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. Role of the Postdoctoral fellow: She/he will analyze brain imaging and cognitive