Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- Université Grenoble Alpes
- Télécom Paris
- Université Claude Bernard Lyon 1
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- CEA-Saclay
- Ecole Centrale de Lyon
- Ecole Normale Supérieure de Lyon
- FRANCE ENERGIES MARINES
- IMT - Atlantique
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Institut of Mathematics of Marseille
- Nantes Université
- Télécom SudParis
- Universite de Montpellier
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Toulouse III Paul Sabatier
- École Normale Supéireure
- 12 more »
- « less
-
Field
-
, implementation and evaluation of BIOMASS Forest Disturbance products Contribute to the algorithm design and testing of new approaches for detecting and quantifying forest disturbances (e.g. deforestation
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
dedicated Engineers responsible for the actual implementations. Hence, your primary focus will be on the creation of sound algorithms and methods, ensuring their theoretical integrity and applicability
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
-
evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
-
: Computer science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Distributed Algorithms – Fault Tolerance – Cloud computing JOB /OFFER DESCRIPTION We are looking for a young researcher interested in fault tolerance and
-
the necessary data from numerical models and observations to build the dataset; Identify the algorithms best suited to learn the targeted behaviors; Train the learning models; Validate their ability to predict
-
analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of nonstationary models and algorithms for analyzing various
-
to contribute to the development of fundamental aspects of computer science (models, languages, methods, algorithms) and to develop synergy between the conceptual, technological and societal challenges associated
-
· Carry out research activities under the Department's contracts in the RS2M field · Participate in and ensure the delivery of project deliverables · Design and develop models, algorithms, and
-
Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 2 months ago
nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential