Sort by
Refine Your Search
-
at the Very Large Telescope in Chile to test the algorithm with the SPHERE+ instrument. Activités The PhD will employ a combination of simulation and experimental validation: • Imaging processing and control
-
-resolution imaging (twice the diffraction limit). This is accomplished by acquiring sequential speckle illumination images and processing them using Random Illumination Microscopy (RIM). This wide-field CARS
-
in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
-
between two teams from laboratories in Toulouse: IRIT (Computer Science) and CEMES (Centre for Nanoscience and Materials). One team, led by E. Soubies, specializes in computational imaging and image
-
), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or
-
areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
-
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
-
humanities. We combine terahertz, ultrasound, infrared thermography, hyperspectral/multispectral, and X-ray imaging with multimodal data fusion, interactive visualisation, and digital twins. Results
-
. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
-
) which is sliced and stained to be finally observed by a specialist allowing him to make a diagnosis on its cancerous nature. This process is long (1h-72h) and prevents the optimal management of patients