Search for a funded project
localization
by microphone arrays. One of the specific features of the project is that it is based solely on the
large-scale machine learning and applications
from data, or designed for the purpose of fast feature selection. In the applied axis, we have identified [...] generation DNA/RNA sequencing, where we perform feature selection in a model of exponential size. We will
innovative RE-use and reCycling VALue Chain for High-Power Magnets
and resource efficiency analysis. The special feature of this project is the parallel work on almost
information and communication in large networks
Information and communication in large networks
in vitro reconstitution of the minimal flippase-operated phospholipid transport machinery
two leaflets of cell membranes is a fundamental feature of eukaryotic cells. For instance, while phosp
iReCHeCk - A Robotic Handwriting Companion
therapists with low level handwriting and body posture features characterizing non-observable micro-movements [...] process. In a first phase, we will investigates new features that can help the diagnostic and the remediation [...] project, by investigating non-observable low level features of handwriting, we aim to provide new insight
high strain RAte, TEmperature and Small-scale mechanical properties of materials
The RATES project aims to develop a unique expertise on a national scale (and almost unique in the world) on the measurement/modeling of the behavior of materials at the scale of a few microns (scale of surface layers, coatings, areas affected by new manufacturing processes) at very high strain rates and very high temperatures.
exo-PlanetarY high-Temperature Hydrocarbons by Emission and Absorption Spectroscopy
Exo-PlanetarY high-Temperature Hydrocarbons by Emission and Absorption Spectroscopy
elecTRo-optically Actuated all-FIber Components for advanced endoscopic system
modification). Mixing electrical and optical features in a unique guiding structure will further open
eXplaining Competency and Autonomy development in Learning Environments
learning will be based on learners’ models - having features for personalization and for self-regulation -
