Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Inria, the French national research institute for the digital sciences
- CEA
- CNRS
- IMT Mines Ales
- IRIT, Université de Toulouse
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- IMT - Institut Mines-Télécom
- IMT MINES ALES
- Institut National Polytechnique de Toulouse
- Institut Neel
- Institut Pasteur
- Laboratoire National de Métrologie et d'Essais - LNE
- NIMES UNIVERSITE
- The American University of Paris
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université d'Orléans
- Université de Caen Normandie
- Université de Lorraine
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- université Strasbourg
- École nationale des ponts et chaussées
- 14 more »
- « less
-
Field
-
of Technology of Compiègne (UTC) is seeking an algorithm chain development engineer to join its Applied Mathematics Laboratory (LMAC) - Computer Engineering Department (GI), as part of the ANR INCA project
-
can be developed using FPBTs and FBGs coupled with physically informed (PI) machine learning algorithms. SMATSH scientific objectives are then to develop computationally efficient models to predict
-
Python-based frameworks or a web application) enabling image upload, AI-based analysis, and visualization of bacterial phenotypes. Perform image analysis using existing deep learning algorithms developed
-
safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores
-
18 Nov 2025 Job Information Organisation/Company CNRS Department VERIMAG Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
-
collaboration with other CEA teams, notably ; * Parallel and cluster computing environment and efficient LP/MILP algorithms for our large-scale models ; * Data structuring and storage solutions for model input
-
existing literature to address this gap. The student tasks will be to prepare the registration documents (e.g., PROSPERO), refine and test the search algorithm in relevant databases, import search results
-
(multilayer) low-rank tensor decompositions [5,6,7], which supply a rigorous mathematical framework to develop new algorithms and model architectures and to understand their behavior. These techniques will be
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 27 days ago
follows a phased algorithm: 1) generate an initial training set by uniformly sampling input points 2) (re)train the model on the trainng set 3) use feedback from the model’s performance to generate/augment
-
Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 2 months ago
”) for reference data generation. Research developed in EMPIR project 15SIB01 FreeFORM on reference software and the generation of reference data for validating min-max and least-squares fitting algorithms