Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Aix-Marseille Université
- Inria, the French national research institute for the digital sciences
- Nantes Université
- Nature Careers
- Universite de Montpellier
- Université Grenoble Alpes
- INSERM
- Université Claude Bernard Lyon 1
- Université Savoie Mont Blanc
- BENAJIBA team - INSERM U1342 - Saint-Louis Research Institute
- CEA
- Ecole Centrale de Lyon
- Ecole Normale Supérieure de Lyon
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- IMT - Atlantique
- INSERM Rhône Alpes
- Institut Pasteur de Lille
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Institut of Mathematics of Marseille
- SORBONNE UNIVERSITE
- Télécom Paris
- Télécom SudParis
- Université Bourgogne Europe
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Toulouse III Paul Sabatier
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Strasbourg
- École Normale Supéireure
- 23 more »
- « less
-
Field
-
applications of candidates from a wide range of backgrounds from theoretical physics to pure mathematics. Candidates with experience in tensor network algorithms, rigorous statistical mechanics, probabilistic
-
2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
-
to process the quantity of experiments conducted with one or more fish swimming simultaneously, on the one hand; and on the other hand, to implement a data fusion algorithm to improve the overall precision
-
: Computer science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Distributed Algorithms – Fault Tolerance – Cloud computing JOB /OFFER DESCRIPTION We are looking for a young researcher interested in fault tolerance and
-
, particularly in deep learning or related areas. No prior knowledge of cryptography is required. Expertise in optimization or efficient algorithm design will be considered an asset. Applications should include a
-
-luminosity phase of the LHC. The successful candidate will work in close collaboration with other members of the Particle Physics team, and with members of the Computing, Algorithms and Data team at L2IT
-
• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
-
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
-
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