Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Université Savoie Mont Blanc
- CIML2000
- Institut Pasteur
- AIix-Marseille University/A*MIDEX
- Ecole Centrale de Lyon
- Grenoble INP - Institute of Engineering
- IMoST - UMR INSERM 1240
- INSERM
- Institut Curie - Research Center
- Nantes Université
- Paris Cardiovascular Research Center, Inserm U970
- Télécom Paris
- UNIVERSITE ANGERS
- UNIVERSITE D'ORLEANS
- University of Tours
- Université Marie et Louis Pasteur
- Université côte d'azur
- 9 more »
- « less
-
Field
-
) and generative robustness (by modeling the vector field generation as a flow matching problem, the model learns to reconstruct complete, continuous flow trajectories even when the input data is
-
on the complementarity between in-situ measurements taken at sites currently monitored by ISTerre and EDYTEM in the Aiguilles Rouges and Mont-Blanc massifs (Haute-Savoie) [Courtial-Manent-2023], and measurements obtained
-
integrating new generative models into RL-EDA, such as Generative Flow Networks (GFlowNets [Bengio et al., 2021]) or diffusion models [Lou et al., 2024]. Where to apply Website https://recrutement.univ
-
. The functional relevance of these biomarkers will be investigated using both in vitro and in vivo models, as depicted in the publications of team. Selected Publications from the Team 1: Dousset L, et al
-
Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
-
The Translational Cancer Immunogenomics (TCI) Research Group, led by Dr. Ángel Álvarez-Prado at the Department of Cancer Research of LIH, is currently offering a postdoctoral researcher position
-
scaled models in wind tunnels. Its main advantage lies in the ability to measure wall pressure fluctuations in hard-to-access regions, such as thin profiles, the blades of a flow-straightening stator, the
-
genetic screens in Primary and cell line models of T-cell lymphomas and characterize their oncogenic dependencies, and functionally validate them using CRISPR-based genetic perturbation approaches. Through
-
. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
-
networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with