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
- IRIT, Université de Toulouse
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Claude Bernard Lyon 1
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- École nationale des ponts et chaussées
- American University of Paris;
- CEA
- CEA-Saclay
- 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 SudParis
- Universite de Montpellier
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Marie et Louis Pasteur
- Université Toulouse III Paul Sabatier
- Université d'Orléans
- 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
- université Strasbourg
- École Normale Supéireure
- 39 more »
- « less
-
Field
-
, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics to mechanical engineering
-
properties are optimized by machine learning algorithms to retrieve properties of reference flames gathered in a learning base. A virtual scheme consists of a main block that models the heat release from
-
techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially
-
reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
in seismology. Advances in Geophysics. Warburton, T., & Hesthaven, J. S. (2008). Nodal discontinuous Galerkin methods: algorithms, analysis, and applications. Springer. Abdi, R., et al. (2021). GPU
-
the Grenoble synchrotron. You will join the group responsible for developing diffraction analysis algorithms at the Grenoble synchrotron. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5510
-
: algorithms linking system specifications with the asset library, providing real-time, context-aware recommendations in modeling tools. Validation: industrial case studies to assess vulnerability reduction and
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
dedicated Engineers responsible for the actual implementations. Hence, your primary focus will be on the creation of sound algorithms and methods, ensuring their theoretical integrity and applicability
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 2 months ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras