Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Université de Bordeaux / University of Bordeaux
- INSERM
- Université Gustave Eiffel
- CNRS UMR6614 CORIA
- Clermont Auvergne University
- Grenoble INP - Institute of Engineering
- Gustave Roussy / Inserm
- IMT Atlantique
- IMT Nord Europe
- IMoST - UMR INSERM 1240
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Institut Jacques Monod, CNRS UMR 7592
- Télécom Paris
- UNIVERSITE D'ORLEANS
- Université Grenoble Alpes
- Université Paris Cité
- Université Savoie Mont Blanc
- Université côte d'azur
- Université de Caen Normandie
- 12 more »
- « less
-
Field
-
preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
-
. The laboratory also develops cross-disciplinary research areas between these teams. It hosts a large number of PhD and postdoctoral researchers. It is a multidisciplinary research unit in the field of cognitive
-
community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
-
Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
-
for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
-
to identify, map, and measure in airborne and satellite images of the Earth, the natural and socio-environmental hazards and risks studied in IRIMA(earthquakes, tsunamis, volcanic eruptions, landslides
-
You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
-
Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative