Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nantes Université
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Université Grenoble Alpes
- Institut Pasteur
- Universite de Montpellier
- Université Savoie Mont Blanc
- Télécom Paris
- Université de Caen Normandie
- Aix-Marseille Université
- INSERM
- Mediterranean Institute of Oceanography
- BRGM
- CEA
- Ecole Centrale de Lyon
- IMT - Atlantique
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Inserm
- UNIVERSITE PARIS CITE
- Université Claude Bernard Lyon 1
- Université Marie et Louis Pasteur
- ASNR
- Aix-Marseille University
- BENAJIBA team - INSERM U1342 - Saint-Louis Research Institute
- BIP
- CEA-Saclay
- CNRS-ENS-UCBL
- CY Cergy Paris University
- Ecole Normale Supérieure
- European Magnetism Association EMA
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- INRAE
- Institut Jean Lamour
- Institut Pasteur de Lille
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Institut of Mathematics of Marseille
- LEM3
- LISA UMR7583
- La Rochelle Université
- Observatoire de la Côte d'Azur
- Télécom SudParis
- UNIVERSITE ANGERS
- University of Montpellier
- University of Poitiers
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Toulouse III Paul Sabatier
- Université de Bordeaux / University of Bordeaux
- Université de Strasbourg
- Université de Toulouse - LGC
- Université de montpellier
- inserm
- École Normale Supéireure
- 49 more »
- « less
-
Field
-
combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
-
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
-
molecular modeling and dynamics. Modeling and simulation of membrane systems. Writing of results for publication. Data handling. -The "Institut de Biologie Physico-Chimique", in association with the CNRS
-
and SQUID), EEG and Eye Tracker data. - Analysis of the data collected, especially MEEG and behaviorals. - Compare the alignment between MEEG data, behavioral data, and acustic and semantic models
-
) 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
-
HUIBERTS. Full proficiency in spoken and written English will be expected. This position is funded by the ANR JCJC grant Towards Testable Theories of Linear Programming. Laboratory of Informatics, Modelling
-
. To achieve our objectives, we will use cutting-edge technologies (CITE-seq, RNA-seq, Ribo-seq) and combine analysis in readily available relevant cellular models of cancer-experienced T cells, syngeneic mouse
-
predictive modelling Public policy evaluation Management and analysis of survey data Software proficiency Statistical and econometric packages such as Stata, R, or Python GIS software (QGIS, ArcGIS
-
models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
-
molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact