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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be recruited within IJCLab (http://ijclab.in2p3.fr
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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
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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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of algorithmic processing, and bias management. In the field of cultural heritage, the rapid democratization of image and 3D content generators has led to the widespread circulation of visually appealing
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genetically-induced rod degeneration and precipitates vision loss (Gegnaw et al, 2025). The PhD project aims at characterizing the mechanisms underlying this synergy by combining our mouse model of IRD (knock
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hypothesis is that seismicity serves as an observable proxy for the coupled processes linking deformation, permeability evolution, fluid circulation, and hydrogen generation. The strategy consists
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with the project partners…). - Team work - Rigor, organization and autonomy - Master the numerical tools and image processing softwares. Please provide a CV, motivations, available marks obtained in
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. The doctoral candidate will be enrolled in the PHENIICS Doctoral School (Physics: Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos, and Simulation) at Université Paris-Saclay. This doctoral school
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for the heliophysics component, and LISN in Orsay for the computer science and natural language processing component. Status meetings every two weeks, alternately at LIRA in Meudon and at LISN in Orsay. The PhD thesis
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020