Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Université de Montpellier
- IMT Atlantique
- Nature Careers
- IFREMER - Institut Français de Recherche pour l'Exploitation de la MER
- IMT - Institut Mines-Télécom
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Sorbonne Université SIS (Sciences, Ingénierie, Santé)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Côte d'Azur
- Université de Haute-Alsace
- Université de Lille
- École nationale des ponts et chaussées
- CESBIO/ Université de Toulouse
- CNRS - Observatoire de Paris-Meudon
- CNRS / Sorbonne Université
- Clermont Auvergne INP
- Ecole Nationale des Ponts et Chaussées (ENPC)
- Ecole Normale Supérieure
- Ecole Polytechnique
- Ecole Pratique des Hautes Etudes - PSL
- French National Research Institute for Agriculture, Food, and the Environment (INRAE)
- Grenoble INP - Institute of Engineering
- Grenoble INP; Gipsa-lab/LEGI
- INSA Lyon
- INSA Rouen Normandie
- INSA Strasbourg
- Institut Agro Montpellier
- Institut Agro Rennes-Angers
- Institut Jean Lamour - CNRS - Université de Lorraine
- LAUM UMR CNRS 6613
- Mines Paris-PSL
- Télécom Paris
- Télécom SudParis
- UNIVERSITE ANGERS
- UNIVERSITE D'ORLEANS
- UNIVERSITE LE HAVRE NORMANDIE
- Univ. Lorraine CNRS
- University of Rouen Normandy
- Université Caen Normandie
- Université Clermont Auvergne
- Université Grenoble Alpes
- Université de Bordeaux
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Limoges
- Université de Pau et des Pays de l'Adour
- Université de Savoie Mont-Blanc
- fluiidd
- palevoprim
- 41 more »
- « less
-
Field
-
remain poorly understood. Their structural heterogeneity and chemical complexity make accurate atomistic modeling particularly challenging. Recent advances in machine learning approaches provide a powerful
-
, understanding and predicting their thermal conductivity from first principles calculations is very challenging. In this doctoral research project, we plan to use machine learning potentials to investigate
-
et d'assurer la stabilité des performances dans le temps. Cette thèse s'inscrit dans le cadre de l'apprentissage continu, un domaine émergent du machine learning, qui vise à concevoir des modèles
-
reconstruction - Estimation theory - computational methods and deep learning approaches. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7249-HERRIG-026/Default.aspx Work Location(s) Number
-
of machine learning / artificial intelligence Knowledge in optics (imaging) will be particularly appreciated. Additional Information Work Location(s) Number of offers available1Company/InstituteInstitut Jean
-
Specific Requirements connaissances en programmation par contraintes et apprentissageconstraint programming and machine learning Additional Information Work Location(s) Number of offers available1Company
-
collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at
-
: The ideal candidate should have: * Knowledge of machine learning, especially neural networks or graph neural network or federated learning. * Strong mathematical and algorithmic background (optimization
-
to reduce the cost of clean hydrogen to $1/kg by 2031. The project proposes to address key scientific challenges by using molecular simulations (reactive force fields like ReaxFF and machine learning
-
of this brain cancer, as well as the evolution of the tumor. This part of the project involves designing, developping, and running machine learning algorithms and approaches to exploit vectors of RNA modification