Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- CEA Grenoble
- CEA-Saclay
- CNRS UMR6614 CORIA
- Ecole Normale Supérieure de Lyon
- IMT Atlantique
- IMT MINES ALES
- IMT Mines Ales
- Télécom Paris
- UNIVERSITE ANGERS
- UNIVERSITE D'ORLEANS
- Universite de Montpellier
- Université Gustave Eiffel
- Université Savoie Mont Blanc
- Université côte d'azur
- Université de Bordeaux / University of Bordeaux
- 9 more »
- « less
-
Field
-
of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
-
skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
-
validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
-
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 CV, a list of publications
-
approach based on Deep Learning algorithms will be developed and implemented to obtain additional information by coupling the recorded data. Furthermore, the increase in acquisition rates of measurement
-
address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
-
-shower algorithms with unprecedented (logarithmic) accuracy for jet substructure at the LHC. The project also has connections with analytic resummations and studies of jet substructure observables
-
atmospheric sciences • Knowledge of cloud or aerosol physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a
-
9 Feb 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
-
addresses the need for data-driven and hybrid modeling approaches that combine physics-based knowledge with artificial intelligence (AI) algorithms for accurate, interpretable, and robust health state