Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Nantes Université
- CEA
- Ecole Centrale de Lyon
- Inria, the French national research institute for the digital sciences
- Inserm
- UNIVERSITE PARIS CITE
- Universite de Montpellier
- Université Savoie Mont Blanc
- 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
- Observatoire de la Côte d'Azur
- 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
- 21 more »
- « less
-
Field
-
) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
-
by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The successful candidate will use the poroelasticity models developed in the M3DISIM team
-
. Ca in Ol1), and the use of dihedral angles in solidified plutonic rocks. A key objective will be to improve current approaches to quantify those cooling rates by providing 1/ a finite difference model
-
applied knowledge in evolutionary genetics and epidemiology, particularly on antibioresistance evolution in bacterial or eukaryotic pathogens. Activities : - model the demographic and evolutionary responses
-
and analyzed. The results will inform the development of new models that describe how seafloor spreading operates on short time scales. ⁃ Perform statistical analyses (assessing distributions
-
to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
-
ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
-
Computer science » Modelling tools Agricultural sciences » Forest sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country France Application Deadline 5 Oct 2025 - 20:00 (Europe
-
The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
-
familiarity with the desperation threshold model of decision making. Where to apply E-mail daniel.nettle@ens.psl.eu Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications PhD