Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Universite de Montpellier
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- INSERM
- Université Savoie Mont Blanc
- Université de Limoges
- Avignon Université
- CEA
- CIML2000
- CY Cergy Paris University
- CYU Cergy Paris Université
- ESPCI Paris - PSL
- Ecole Normale Supérieure de Lyon
- Fondation nationale des Sciences Politiques
- IMT - Institut Mines-Télécom
- IMT Atlantique
- INSERM DR2
- INSERM U1028
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inserm PACA Corsica
- Tour du Valat
- Télécom Paris
- UNIVERSITE ANGERS
- University of Rouen Normandy
- University of Tours
- Université Grenoble Alpes
- Université Marie et Louis Pasteur
- Université de Caen Normandie
- Université de Pau et des Pays de l'Adour
- 22 more »
- « less
-
Field
-
position on vulnerability and adaptation to climate change inside the Mediterranean Ramsar network. The Tour du Valat is a research institute for the conservation of Mediterranean wetlands based in
-
of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
-
researcher will work at the interface of root developmental biology, 3D modeling, network and graph theory, and data analysis, in close interaction with biologists, modelers, and computer scientists (INRAE
-
The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
-
. 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
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 21 hours ago
to reconstruct open rose flowers in 3D. The key idea is to learn two neural networks that operate on different scales. The first network operates on the scale of the full flower to identify the flower architecture
-
implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
-
-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
-
source and made available to researchers, for example to calibrate the hyperparameters of a neural network. Definition of research activities and tasks to be accomplished: To meet these challenges, we
-
, which in turn will be used to engineer highly specialized neuronal cellular subtypes for cell transplantation therapies. To achieve this goal, the candidate will combine a gene network-based approach with