Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- IMT Atlantique
- Inria, the French national research institute for the digital sciences
- BRGM
- ONERA
- UNIVERSITE ANGERS
- Université Gustave Eiffel
- CNRS - Observatoire de Paris-Meudon
- Centrale Supelec
- Clermont Auvergne INP
- ENTPE
- Ecole Centrale de Lyon
- IMT - Institut Mines-Télécom
- INRIA
- INSA Strasbourg
- Institut Pasteur
- Sorbonne Université, CNRS, Inserm
- Télécom SudParis
- Université Côte d'Azur
- Université Toulouse Capitole
- Université côte d'azur
- Université d'Orléans
- Université de Haute-Alsace
- Université de Lille
- Université de Limoges
- Université de Montpellier
- 17 more »
- « less
-
Field
-
of this brain cancer, as well as the evolution of the tumor. This part of the project involves designing, developping, and running machine learning algorithms and approaches to exploit vectors of RNA modification
-
the advent of 5G/6G networks, the Internet of Things (IoT), and edge computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous
-
approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
-
(scRNA-seq) data, and structural data from cnidarians, and we will develop new algorithms to analyze the evolutionary history of muscle components. You will study the evolution of muscle components during
-
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
-
for the detection of exoplanets in coronagraphic images. Unlike traditional methods that rely on angular or spectral diversity to differentiate planetary and stellar light, this project is to develop Coherent
-
techniques in continuous measurement spaces that have undergone significant fundamental and algorithmic developments over the past 15 years. In particular, they make it possible to explicitly formulate
-
agreement, with the PhD candidate employed by Canon CRF. Current state of scientific knowledge The evolution towards 6G is accompanied by an increasing integration of heterogeneous access technologies
-
study will leverage existing numerical resources and mobilize advanced methods from software engineering to develop a robust and adaptable framework for manipulating and coupling different models
-
consistent thermodynamic framework; Algorithm development for the numerical resolution of the resulting systems; Numerical simulations and validation of the proposed models. The model will be formulated in