Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Institut Pasteur
- Universite de Montpellier
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- CEA
- CNRS-LMA
- ESSEC Business School
- Ecoles Pratique des Hautes Etudes - PSL
- European Magnetism Association EMA
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INSERM
- Institut Pasteur de Lille
- Luxembourg Institute of Health (LIH)
- Region Bretagne
- University of Lille
- University of Luxembourg
- Université de Strasbourg
- muséum national d'histoire naturelle
- 10 more »
- « less
-
Field
-
characterization of the wireless link (power + sensing) - Design and optimization of sensor-resonator coupling - Participation in in vitro and ex vivo testing We are seeking highly motivated researchers to join our
-
optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
. Leglaive, L. Girin, X. Alameda-Pineda, and R. Séguier, "A multimodal dynamical variational autoencoder for audiovisual speech representation learning," Neural Networks, 2024. 10. A. Ballou, X. Alameda-Pineda
-
and fabricating transparent and flexible microelectrode arrays (MEAs) based on conductive polymers for recording the electrical activity of enteric neuronal networks, as well as for performing cellular
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
, to define the control software architecture. Develop the control software of the actuated soft-robot phantom: sensor data acquisition, state estimation, and closed-loop control (position, apparent stiffness
-
characterization of microfabricated optomechanical devices used as gravity sensors. The postdoctoral researcher will also contribute to the scientific supervision of a PhD student working on these topics. Design
-
models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
-
insulator, localization, etc.) and to study their performance as thermal sensors for bolometers operating at low temperatures. The team thus covers the entire experimental cycle, from the design and
-
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
-
, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute