Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Université Grenoble Alpes
- Aix-Marseille Université
- CEA
- IRIT, Université de Toulouse
- Université Claude Bernard Lyon 1
- Université Savoie Mont Blanc
- École nationale des ponts et chaussées
- American University of Paris;
- Ecole Centrale de Lyon
- Ecole Normale Supérieure de Lyon
- FRANCE ENERGIES MARINES
- IMT - Atlantique
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- IMT Mines Ales
- IRISA
- Institut National Polytechnique de Toulouse
- Institut Neel
- Institut Pasteur
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Institut of Mathematics of Marseille
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Laboratoire National de Métrologie et d'Essais - LNE
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- NIMES UNIVERSITE
- Nantes Université
- The American University of Paris
- Télécom Paris
- Télécom SudParis
- Universite de Montpellier
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Toulouse III Paul Sabatier
- Université d'Orléans
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Lorraine
- Université de Montpellier
- Université de Pau et des Pays de l'Adour
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- École Normale Supéireure
- 35 more »
- « less
-
Field
-
single needle, a robotic platform introduces complex motion control challenges that require the development of adaptive toolpath algorithm. This algorithm will ensure continuous and smooth deposition while
-
into refining computational strategies for large-scale molecular simulations in materials science and computational physics. The project will involve substantial numerical development, including algorithm design
-
resources to carry out your assignments. YOUR ASSIGNMENTS: The internship will develop and implement scalable, high‑performance algorithms for transient Lindblad dynamics tailored to the multi‑level Rydberg
-
of Opportunity (SOP) for geolocation. The laboratory has developed algorithms to perform geolocation using such signals. We now wish to move on to an experimental phase. The mission will take place at the SAMOVAR
-
training, as well as on machine learning or generative AI models. Technology watch on AI recommendation models and optimization of recommendation algorithms. Implementation of the recommendation engine
-
algorithms where the agent can propose updates to its own world model structure, but these updates are only accepted after a formal verification step confirms that the new model still adheres to its core
-
-world error patterns: we therefore aim to go beyond the traditional depolarizing error model generally accepted in the quantum coding community. One therefore wishes to adapt existing decoding algorithms
-
perturbations stochastiques, associées à des fonctionnelles définies sur des espaces fonctionnels de dimension infinie. L'étude se fera en reliant ces algorithmes avec des équations aux dérivées partielles
-
recognitions and multi-class neural network algorithms. We propose to apply this emerging method to study samples from Europe, South Africa, and East Asia dated between 1.8 Ma and 60 thousand years ago (ka
-
opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes