Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Universite de Montpellier
- Université côte d'azur
- CNRS
- CY Cergy Paris University
- Fondation nationale des Sciences Politiques
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inria, the French national research institute for the digital sciences
- Inserm PACA Corsica
- Institut Pasteur
- Télécom Paris
- UNIVERSITE ANGERS
- University of Rouen Normandy
- University of Tours
- Université Savoie Mont Blanc
- Université de Caen Normandie
- Université de Pau et des Pays de l'Adour
- 7 more »
- « less
-
Field
-
‑order elements are often used for plasma simulation, but they remain insufficient to handle the complexity of magnetic‑field anisotropy without relying on field‑aligned meshes. Our objective is therefore
-
conditions can be complex and requires adaptation strategies. To overcome these limitations, the RESIL-AV project aims to improve detection accuracy by leveraging a network of heterogeneous sensors. This will
-
for the project. However, none of the existing approaches have so far revealed fully satisfying. This is mainly because fault traces and the networks they form at larger scales are highly complex: each fault trace
-
the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
-
, 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
-
evolutionary). The project aims to approximate a Boltzmann distribution associated with an objective function that is difficult to optimize in order to solve complex optimization problems. This probabilistic
-
: This postdoctoral position is part of an innovative research project in the field of soft robotics, aiming to design inflatable flexible robotic systems capable of safely interacting with complex or confined
-
. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
representing mobility flows and EV trajectories from the collected data. • Redesign the model to incorporate more complex, nonlinear trajectories by removing constraints from the initial bipartite graph
-
: Institut de Biologie Valrose (iBV), Nice, France -Start date: 02/06/2026 -Contract: 2 years If you are enthusiastic about dissecting complex protein interaction networks and eager to develop cutting-edge