Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- CEA
- Institut Pasteur
- Mediterranean Institute of Oceanography
- Inria, the French national research institute for the digital sciences
- UNIVERSITE PARIS CITE
- Université de Bordeaux
- Université de Montpellier
- Aix-Marseille Université
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA-Saclay
- CPPM
- Ecole Centrale de Lyon
- FEMTO-ST institute
- French National Research Institute for Sustainable Development
- Grenoble INP - Institute of Engineering
- Géoazur laboratory
- ICB - UMR 6303 - Laboratoire Interdiciplinaire Carnot de Bourgogne
- IMT MINES ALES
- IRISA
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Le Mans Université
- Nantes Université
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- The American University of Paris
- UNIVERSITE ANGERS
- Universite de Montpellier
- University of Paris-Saclay
- Université Grenoble Alpes
- Université Paris-Saclay (UPS)
- Université Savoie Mont Blanc
- Université d'Artois
- Université d'Orléans
- Université de Caen Normandie
- Université de Picardie - Jules Verne
- Université de Strasbourg
- École nationale des ponts et chaussées
- 30 more »
- « less
-
Field
-
techniques capable of handling: Extremely large design spaces with many interacting variables Multi-objective trade-offs (performance, power, area, sustainability, etc.) Complex constraints and architectural
-
learning, focusing on identifying abrupt shifts in the properties of data over time. These shifts, commonly referred to as change-points, indicate transitions in the underlying distribution or dynamics of a
-
research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
-
through text, images, networks, … A similar situation can be encountered in the context of medical data, where the data types may be even more large. It is therefore of strong interest to be able to analyze
-
to constitute a hospital-university institute (IHU) from 2025. This Institut reConnect will tackle the topic of big data in audio-vestibular patients and the work performed by the engineer will form a solid basis
-
Seppelt, Director of the Luxembourg Centre for Socio-Environmental Systems (LCSES) Email: Your profile The successful candidate will apply modern data science techniques, including the analysis of large
-
to perceive their environment because this sensor can produce precise depth measurement at a high density. LiDARs measurements are generally sparse, mainly geometric and lacks semantic information. Therefore
-
Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
-
data that mimics key characteristics observed in experimental recordings. This approach will involve an inference phase to identify large-scale parameters characteristic of larva populations. Crucially
-
the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a