Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Universite de Montpellier
- Inria, the French national research institute for the digital sciences
- Université Savoie Mont Blanc
- IMT Atlantique
- Université de Bordeaux / University of Bordeaux
- CEA
- CIML2000
- Ecole Normale Supérieure de Lyon
- European Synchrotron Radiation Facility
- Nantes Université
- Télécom Paris
- UNIVERSITE ANGERS
- Université Grenoble Alpes
- Université de Limoges
- Université de Pau et des Pays de l'Adour
- AIix-Marseille University/A*MIDEX
- Aix-Marseille Université
- Avignon Université
- BRGM
- CEA Grenoble
- CEA-Saclay
- Centre de recherche des Cordeliers
- ESPCI Paris - PSL
- Ecole Centrale de Lyon
- Ecole Normale Superieure
- Ecole Polytechnique
- Fondation Hôpital Rothschild
- Fondation nationale des Sciences Politiques
- Grenoble INP - Institute of Engineering
- Gustave Roussy / Inserm
- IMT - Institut Mines-Télécom
- IMT Mines Albi
- IMT Mines Ales
- IMT Nord Europe
- INSERM
- INSERM U1028
- INSERM U1112
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inserm PACA Corsica
- Institut Curie - Research Center
- Institut Jacques Monod, CNRS UMR 7592
- Paris Cardiovascular Research Center, Inserm U970
- Sorbonne Université
- Tour du Valat
- UNIVERSITE D'ORLEANS
- University of Tours
- Université Marie et Louis Pasteur
- Université Paris 1 Panthéon Sorbonne
- Université Paris Cité
- Université côte d'azur
- Université du Littoral Côte d'Opale
- École Normale Supérieure
- 45 more »
- « less
-
Field
-
. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
-
will be responsible for: - Conducting a literature review on nickel-based anode nanomaterials for the oxidation of oxygenated organic compounds. (Literature review report due in the first quarter
-
responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
-
for the interpretation of neural network predictions and outputs, including concept-based activation and conterfactual analyses. We are looking for a motivated postdoctoral researcher to join the AI for Genome
-
(for example, the distance between the sensors) or based on statistical properties of the measured data (for example, the correlation between the measurements of the different sensors) [2]. Graph-based learning
-
to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
-
evaluate innovative methods based on generative models and Vision-Language Models. Design, implement, and validate deep learning approaches for vision applications. Publish research results in leading
-
the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and
-
for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
-
preparation of experimental recordings Specific features related to the position: The post is primarily based at GIN within a clinical and university hospital research environment, working closely with Grenoble