64 machine-learning-"https:" "https:" "https:" "https:" "https:" research jobs in France
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Universite de Montpellier
- Ecole Normale Supérieure de Lyon
- Institut Pasteur
- Université de Bordeaux / University of Bordeaux
- CEA-Saclay
- Fondation Nationale des Sciences Politiques
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- IMT Mines Albi
- IMT Mines Ales
- INSA Strasbourg
- Nantes Université
- Nature Careers
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Strasbourg
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- l'institut du thorax, INSERM, CNRS, Nantes Université
- École nationale des ponts et chaussées
- 12 more »
- « less
-
Field
-
of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
-
details of 2-3 references to laura.cantini@pasteur.fr For more information : https://research.pasteur.fr/en/team/machine-learning-for-integrative-genomics/
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 27 days ago
, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus. LanguagesFRENCHLevelBasic
-
, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
-
or Phonetics Basic knowledge of machine learning tools; familiarity with a scripting language Ability to communicate and coordinate with different partners: field linguists, computer scientists, engineers
-
computational mechanics and scientific machine learning. The successful candidate will work on the design of hybrid, physics-informed modeling and identification frameworks for complex dissipative material
-
Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
-
, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
-
silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
-
University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in