Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Inria, the French national research institute for the digital sciences
- European Synchrotron Radiation Facility
- CNRS
- Nantes Université
- Universite de Montpellier
- Aix-Marseille Université
- CNRS UMR6614 CORIA
- Centrale Lille Institut
- Centrale Supelec
- Ecole Centrale de Lyon
- INRIA
- Inserm UMR-S 1250
- LEM3
- Sorbonne Université, CNRS, Inserm
- cnrs
- 5 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
., BLIP-2, LLaVA, MiniGPT-4), able to follow instructions or answer questions about an image, to extract localization information from images. More precisely, we want to examine how their general-purpose
-
persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is
-
. State-of-the-art core facilities (imaging, histology, cytometry, cell culture, etc.) are available onsite. The successful candidate will work on the EPIMAST project funded by the University of Reims
-
of mineralogical characterization of materials (pictorial and others) to the understanding of rock surfaces. The use of hyperspectral imaging, which is non-invasive and non-destructive, is central to current
-
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
-
already have GIS skills and basic level of programming enabling them to quickly learn and adapt new codes. Experience in image and topographic analysis for geomorphologic interpretation needs to be
-
PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Neutron-X-ray Imaging for Defect-Stress
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 5 days ago
across diverse biological systems. More broadly, this work is part of the DynaNova program and the DELTA team, which aim to establish a new paradigm for dynamics-aware modeling of macromolecular systems
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 24 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
-
investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations