Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- INSERM
- Inria, the French national research institute for the digital sciences
- MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université de Bordeaux / University of Bordeaux
- CEA
- ECE - Paris - Ecole d'ingénieurs
- French National Institute for Health Research (INSERM)
- Grenoble INP - Institute of Engineering
- IMT Atlantique
- INSA Strasbourg
- INSERM DR Paris 5
- Institut Pasteur
- Universite de Montpellier
- Université de Rennes, CNRS
- 6 more »
- « less
-
Field
-
a particular focus on future 6G wireless networks. The research will develop design tools able to jointly optimize computation and communication parameters while satisfying latency, throughput, energy
-
the past few decades, remarkable progress has been made toward constructing functional quantum processors. However, to build fully capable quantum computers and networks, a wide range of complementary
-
MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | 6 days ago
20 Sep 2026 Job Information Organisation/Company MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices Research Field
-
interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
-
Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
-
condensate dynamics [6] confirm that programmable multi-soliton architectures are now experimentally accessible. In par- allel, AI methods — reinforcement learning and neural- network-based optimization — have
-
to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
-
[Srdinsek2025], the sole structure of the tensor networks that could be “salvaged” was the canonical form that provided the ability to dynamically compress/decompress. During this PhD, we will develop more; we
-
tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
-
world. • Network & Collaborations: Your work will be supported by strategic collaborations with LabEx member laboratories (CEA-LETI, CROMA, TIMA, LMGP) for the development of processes, advanced metrology