Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Aix-Marseille Université
- Université Grenoble Alpes
- Inria, the French national research institute for the digital sciences
- Université Claude Bernard Lyon 1
- Université de Bordeaux / University of Bordeaux
- CEA-Saclay
- Ecole Centrale de Lyon
- FRANCE ENERGIES MARINES
- IMT - Atlantique
- Institut of Mathematics of Marseille
- Nantes Université
- Télécom Paris
- Télécom SudParis
- Universite de Montpellier
- Université Savoie Mont Blanc
- École Normale Supéireure
- 7 more »
- « less
-
Field
-
P2S2 project aims at developing parton-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic resummations and studies
-
(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
-
Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
-
or imitation of these signals affects the fish's responses. In the first year, the team—composed of researchers, engineers, and PhD students—built an experimental arena equipped with high-speed cameras and
-
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
-
, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS PhD in Mathematics or Computer science, A good understanding of BFT ; Ability to link technical problems and algorithms, graphs
-
• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
-
-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
-
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
-
, to propose a project that falls within one of the current major axes of the team: "Algorithms to assist in the notation and composition of guitar tablatures" (TABASCO project - TABlature ASsisted COmposition