Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
10 Jul 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer
-
. The mechanisms governing the growth of Sn on InAs and other III-V semiconductors remain poorly understood. Imaging Sn/InAs interfaces at atomic resolution using a transmission electron microscope (TEM) gives
-
11 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Mathematics History » History of science Researcher
-
of the observed phenomena. Advanced image processing techniques will also be applied to analyse low-dose recorded images. Beyond ion irradiation, the project will explore how laser illumination and mechanical
-
institute in materials science and advanced characterization. The candidate will have access to the FastNano Liquid platform, enabling operando monitoring of PISA processes through SAXS and Raman spectroscopy
-
processing (image analysis); (iv) the results will be used as input parameters for reactive transport modeling. Keywords: microfluidics, micro-model design, heterogeneous porous media, leaching, reactive
-
to artifacts such as non specific absorption, parasitic reactions, or diffusion based resolution loss. In this project, we will design and control a surface modifcaiton process based on a double, photo
-
cellular changes. Advanced imaging techniques, including structural and functional-MRI, developed by Dr. Emmanuel Barbier (GIN director), will be used to optimize rSynES and monitor neuronal changes over
-
dynamics; Movement, reproduction, and mortality processes; Intervention scenarios. Parameterization and structuring of input data. Support for participatory modeling - Preparation of stakeholder workshops
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
management. At the same time, agentic AI introduces significant privacy and security challenges. Agents may accumulate and process sensitive personal information, use it to interact with external services, and