Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- INSERM
- Luxembourg Institute of Science and Technology (LIST)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- 3IA Côte d'Azur
- European Synchrotron Radiation Facility
- INSA LYON
- INSA Strasbourg
- Institut Pasteur de Lille
- Luxembourg Institute of Health (LIH)
- Microfluidics Innovation Center
- Mines Paris-PSL
- Université Grenoble Alpes
- Université de Lille
- Université de Rennes, CNRS
- 6 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
., Scharffe, F., Todorov, K., & Trojahn, C. (2025). Graph Embeddings Meet Link Keys Discovery for Entity Matching. https://doi.org/10.1145/3696410.3714581 [6] Sousa, G., Lima, R., & Trojahn, C. (2025). Results
-
requirements for training data, memory, and computing power while maintaining a high level of accuracy. Particular attention will be paid to the explainability and embedding of the models to facilitate
-
the implementation of novel architectures, including hybrid jump-diffusion flows in token embedding spaces. Funding category: Contrat doctoral PHD title: Doctorat de Mathematique PHD Country: France Where to apply
-
are organised across GBM regions. The candidate will be embedded in the ShadowEV-GBM MIC consortium, which generates and analyses high-dimensional datasets including spatial transcriptomics, mass spectrometry
-
are trained on simulations (SBI — Simulation-Based Inference). The work will be carried out within the framework of the ANR SCINF project (2026–2029) and will be embedded in the international ZTF, LSST/DESC and
-
or controllers to meet the expectations of our partners and the market. You drive the developments tied to electronics and embedded systems, adapting existing technologies to the specifics of microfluidics
-
to nanomaterials, including materials for energy, and is equipped with state-of-the-art research facilities. Embedded in an active network of industrial and academic collaborations, SIMaP provides an ideal framework
-
degrees: A Master's or engineering degree in robotics, AI, computer science, embedded systems, computer vision, or mechatronics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6285-FLOLHO
-
Heudiasyc laboratory, and will work on the CAP Twinning project, contributing to one or more of its main three scientific axes, relating to embedded AI and robotics in the domain of interactive augmented
-
the perception and trajectory generation pipeline using advanced learning approaches, such as Knowledge Distillation, to enable real-time computation on lightweight embedded resources. - Prototyping: Test the