Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- CEA
- Inria, the French national research institute for the digital sciences
- IMT MINES ALES
- Institut National Polytechnique de Toulouse
- Institut Pasteur
- The American University of Paris
- UNIVERSITY OF VIENNA
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Savoie Mont Blanc
- Université d'Orléans
- Université de Technologie de Belfort-Montbéliard
- 3 more »
- « less
-
Field
-
21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
-
28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
-
components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
-
compressed sensing et la capacité à optimiser des algorithmes pour des applications temps réel, qui seront également valoriséesThe candidate should have: - A strong background in applied mathematics, including
-
fait appel à des « pipelines » d'analyse qui associent les technologies de séquençage innovantes aux algorithmes bioinformatiques pour assembler, annoter et comparer les génomes viraux. Le projet
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 3 hours ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially
-
on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
-
reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 4 days ago
Requirements Specific Requirements This project will require a candidate with experience in: Image registration algorithms (non-rigid is a plus) Advanced Python programming skills (especially with Torch / Keras
-
" setting [4], where the benchmark is the optimal online algorithm rather than the expected maximum, making the competition more dynamic. - Study settings where multiple items are allocated to buyers, such as