Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- CEA
- IMT Mines Ales
- IRIT, Université de Toulouse
- Institut Pasteur
- Télécom Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Claude Bernard Lyon 1
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- École nationale des ponts et chaussées
- American University of Paris;
- CEA-Saclay
- Ecole Centrale de Lyon
- Ecole Normale Supérieure de Lyon
- FRANCE ENERGIES MARINES
- IMT - Atlantique
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- Institut National Polytechnique de Toulouse
- Institut Neel
- Institut of Mathematics of Marseille
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Laboratoire National de Métrologie et d'Essais - LNE
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- NIMES UNIVERSITE
- Nantes Université
- The American University of Paris
- Télécom SudParis
- Universite de Montpellier
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Marie et Louis Pasteur
- Université Toulouse III Paul Sabatier
- Université d'Orléans
- Université de Caen Normandie
- Université de Lorraine
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- université Strasbourg
- École Normale Supéireure
- 34 more »
- « less
-
Field
-
Alcotra RESIL-AV project, which will start on September 1, 2025, and run for a total duration of three years. The objective of this Franco-Italian project is to develop a common approach to a shared
-
for simulating such complex geometries. For example, the memory and computation time required become prohibitive with standard “black-box” finite element methods. The objective is therefore to develop a dedicated
-
work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
-
train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
-
of synoptic processes can be isolated from those driven by surface conditions. Thanks to advances in ground-based remote sensing technology and algorithm development, those profile observations can now be
-
interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
-
. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
-
, sensor failures, or the aggregation of datasets from multiple sources. There is a rich literature on how to impute missing values, for example, considering the EM algorithm [Dempster et al., 1977], low
-
connected and valued on their academic journey. Internationally recognised research drives innovation in digital transformation, health, and sustainable development. This scientific progress is supported by
-
des Fluides et d'Acoustique - LMFA) develops a continuum of research in fluid mechanics and acoustics, from the understanding and the modelling of physical phenomena to applied research, in