Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Université Savoie Mont Blanc
- CEA
- Ecole Centrale de Lyon
- Inserm
- UNIVERSITE PARIS CITE
- Universite de Montpellier
- Université de Strasbourg
- ASNR
- Aix-Marseille Université
- BRGM
- CEA-Saclay
- CNRS-ENS-UCBL
- Ecole Normale Supérieure
- European Magnetism Association EMA
- French National Research Institute for Sustainable Development
- IFP Energies nouvelles (IFPEN)
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Laboratoire d'Astrophysique de Marseille
- Le Mans Université
- Observatoire de la Côte d'Azur
- SORBONNE UNIVERSITE
- Télécom Paris
- UNIVERSITE ANGERS
- University of Montpellier
- University of Poitiers
- Université Bourgogne Europe
- Université Grenoble Alpes
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université de Caen Normandie
- École Normale Supéireure
- 25 more »
- « less
-
Field
-
Applied Mathematics, Computer Science, or Theoretical Physics (at the time of appointment). Background in machine learning theory or in one or more of: high-dimensional probability, random matrix theory
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
in the area of scientific computing and Computational Fluid Dynamics. Prior Experience in turbulence modelling, machine learning or the Lattice Boltzmann method is an advantage. Operational skills
-
implementing innovative water accounting approaches on both the supply and demand sides. Main Mission: To develop, calibrate, and validate hydrological models (SWAT, MODFLOW) for two watersheds in Morocco in
-
part of the European project ULTRABAT (BATTERY2030+), you will be responsible for modeling the NMR parameters of lithium ions in and at the interface of battery cathode materials. The ULTRABAT project
-
) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
-
Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 5 days ago
mathematical modeling (preferably physiological systems) and/or control theory. -Experience in signal processing and artificial intelligence methods (time-series analysis, machine learning, multimodal
-
an atomistic model of the electrode/electrolyte interface in the batteries developed by ITEN, at the anode and at the cathode. Both electrodes are based on lithium-based transition metal oxides. The development
-
strains in the elastic medium. We will adapt them to the modelling of gravity changes, following the approach indicated by Bonafede and Mazzanti (1998), and followed by Trasatti and Bonafede (2008) and
-
instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those