Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- European Synchrotron Radiation Facility
- Nantes Université
- Nature Careers
- Universite de Montpellier
- Aix-Marseille Université
- Centrale Lille Institut
- Centrale Supelec
- Ecole Centrale de Lyon
- Ecole Centrale de Nantes
- INRIA
- LEM3
- Sorbonne Université, CNRS, Inserm
- cnrs
- 5 more »
- « less
-
Field
-
humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 4 hours ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
-
. Defrasne, have highlighted: (i) the value of interdisciplinary and multiscale analysis of rock surfaces, enabling the mapping of various natural and anthropogenic processes; (ii) the contribution
-
on the interplay between observations of natural phenomena, experimentation, and the modeling of the associated complex processes. ISTerre also conducts solid Earth observation missions, by hosting and
-
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
-
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
-
PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
underexplored. The aim of this PhD project is to develop and apply advanced neutron imaging methodologies in order to establish quantitative links between processing conditions, microstructural evolution
-
technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
-
conjunction with imaging techniques (TEM, SEM, and AFM). This research project falls within CERMAV's key research areas and is being carried out within the “Self-assembly and Physicochemistry of Glycopolymers
-
multiphysics - Strong interest in experimental techniques and analysis of experimental data - Skills in programming and signal and image processing - Taste for interdisciplinary environment: physics, chemistry