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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
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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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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
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2026-10319 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesiswill take place within
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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
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of single molecules using a temporal approach thanks to an original shaping of the illumination field. This paradigm shift in the process of localizing single molecules will enable us to gain a factor of 3 in
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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
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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
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environment within the laboratory, including imaging and irradiation platforms (BioALTO, TWAC, Institut Curie Orsay, Institut Gustave Roussy), - data analysis and image processing tools (notably CPBM at ISMO
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and