Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Inria, the French national research institute for the digital sciences
- CNRS
- Universite de Montpellier
- Centrale Lille Institut
- Clermont Auvergne INP
- Ecole normale supérieure - PSL
- IC2MP
- IFREMER - Institut Français de Recherche pour l'Exploitation de la MER
- IMT Atlantique
- Mines Paris
- Nature Careers
- ONERA
- Palevoprim
- Sorbonne Université SIS (Sciences, Ingénierie, Santé)
- UTTOP
- Université Clermont Auvergne
- Université Côte d'Azur
- Université Gustave Eiffel
- Université Paris Cité
- Université Paris Est Créteil
- Université Paris-Saclay GS Physique
- Université de Pau et des Pays de l'Adour
- Université de Toulouse
- 13 more »
- « less
-
Field
-
research will address the following four objectives: - a descriptive study of the external exposome associated with mayors’ health and a comparison of mayors’ health parameters with those of the general
-
models of macrophage polarization and host response. Incorporate quantitative microscopy data to estimate parameters related to: Bacterial localization (intra-/extracellular), Replication dynamics
-
reconstruction of neutrino events using the simulation of the DUNE distant detector and compare the expected performance of DUNE to low-energy neutrino interactions with SBND - Estimate the systematic
-
protocol parameters in real time. Addressing these limitations is crucial to ensure continuous, reliable, and energy-efficient communication in mobile IoT networks. This thesis aims to design, implement, and
-
conditions. Conversely, data-driven approaches demonstrate strong performance in locomotion recognition and state estimation but frequently lack physical consistency, transparency, and robustness when exposed
-
estimation directe de la distance angulaire. Cette approche géométrique est indépendante des chandelles standards et largement complémentaire des sondes existantes. Des observations récentes avec GRAVITY sur
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
) Optimization and parameter identification methods Data-driven modeling and machine learning Physics-Informed Learning (or hybrid modeling approaches) Handling and analysis of large-scale datasets (e.g., mobility
-
theoretical precision. To do this, the student will work on: · Perform a myopic or “self-supervised” deconvolution, in which certain poorly known parameters of the laser pulse are estimated jointly with the
-
Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
set of parameters, the background values of the fluxes and the geometrical parameters of the internal space (like its volume or sizes of different topological cycles), called moduli. They span a “moduli
-
of specific microstructural parameters. To address this issue, the LaMcube laboratory has recently developed the SPECIMEN 3D platform, an experimental system designed to produce aluminium alloy tensile