Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- CNRS - Institut Lumière Matière
- Institut Pasteur
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure
- Ecole polytechnique
- FEMTO-ST
- Grenoble INP - Institute of Engineering
- Gustave Roussy Cancer Campus
- IFP Energies nouvelles (IFPEN)
- IMT Atlantique
- Institute of Image-Guided Surgery of Strasbourg
- Nature Careers
- Universite Grenoble Alpes
- Universite de Montpellier
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université de Bordeaux - Laboratoire IMS
- Vision Institute
- École nationale des ponts et chaussées
- 11 more »
- « less
-
Field
-
of machine learning algorithms are of real interest in improving the accuracy of water quality measurements, particularly in identifying, accounting for, and neutralizing ionic interference. The second key
-
Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 8 days ago
. Learn and train on CODA software and its environment, namely development environment (IDE, debugger), pre/post-processing tools, mesh generation, AIRBUS HPC environment. Set-up and simulate simple
-
researchers in the efficient and clean use of renewable synthetic fuels. Candidates will acquire advanced skills in combustion science, chemical kinetics, and numerical modeling. Each PhD will lead to a double
-
) familiar, over-learned areas. The research program consists of four work packages. The recruited PhD candidate will be responsible for Work Packages 1, 3, and 4: - WP1: In-depth understanding of visually
-
of the team but speaking French or an interest to learn French will be advantageous. Persons from historically underrepresented groups in academia are especially encouraged to apply. We are hiring a
-
) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
-
machine learning with the logical reasoning and semantic understanding of symbolic AI (often referred to as material and design informatics) is being developed for the accelerated discovery and development
-
influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
-
desirable; Natural curiosity and interest for cancer biology; Strong self-motivation and willingness to learn new concepts; Excellent communication skills; Independence; To Apply: Please submit a cover letter
-
variations of the EMF, relies on the ability of rocks to acquire a thermoremanent magnetization that remains stable over time. Paleointensity, which measures the intensity of Earth's magnetic field recorded in